Udacity - Deep Learning Foundation v1.0.0

磁力链接/BT种子名称

Udacity - Deep Learning Foundation v1.0.0

磁力链接/BT种子简介

种子哈希：980d687ac1263d7cbdd6cd5eaac2cb239faf8a7e
文件大小： 5.55G
已经下载：4168次
下载速度：极快
收录时间：2018-11-26
最近下载：2025-11-01

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磁力链接下载

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文件列表

  • Part 02-Module 03-Lesson 01_MiniFlow/07. Pixels are Features!-qE5YYXtPq9U.en-US.vtt 72 Bytes
  • Part 02-Module 03-Lesson 01_MiniFlow/07. Pixels are Features!-qE5YYXtPq9U.pt-BR.vtt 91 Bytes
  • Part 02-Module 05-Lesson 02_Convolutional Networks/01. Intro to CNNs-B61jxZ4rkMs.zh-CN.vtt 301 Bytes
  • Part 02-Module 05-Lesson 02_Convolutional Networks/01. Intro to CNNs-B61jxZ4rkMs.en.vtt 303 Bytes
  • Part 02-Module 05-Lesson 02_Convolutional Networks/01. Intro to CNNs-B61jxZ4rkMs.en-US.vtt 309 Bytes
  • Part 02-Module 05-Lesson 02_Convolutional Networks/01. Intro to CNNs-B61jxZ4rkMs.pt-BR.vtt 324 Bytes
  • Part 07-Module 01-Lesson 01_Introduction to Neural Networks/10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.pt-BR.vtt 364 Bytes
  • Part 07-Module 01-Lesson 01_Introduction to Neural Networks/10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.zh-CN.vtt 390 Bytes
  • Part 07-Module 01-Lesson 03_Training Neural Networks/10. Random Restart-idyBBCzXiqg.zh-CN.vtt 419 Bytes
  • Part 07-Module 01-Lesson 01_Introduction to Neural Networks/10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.en.vtt 420 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.pt-BR.vtt 420 Bytes
  • README.txt 454 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.zh-CN.vtt 456 Bytes
  • Part 07-Module 01-Lesson 03_Training Neural Networks/10. Random Restart-idyBBCzXiqg.en.vtt 466 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/07. 07 Quiz Data Challenges V1-F8yc7BlV93c.zh-CN.vtt 468 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.pt-BR.vtt 472 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/28. Mini Project Introduction-Rgf3YVFWl-M.zh-CN.vtt 475 Bytes
  • Part 02-Module 05-Lesson 02_Convolutional Networks/01. Intro to CNNs-B61jxZ4rkMs.ja-JP.vtt 477 Bytes
  • Part 07-Module 01-Lesson 03_Training Neural Networks/10. Random Restart-idyBBCzXiqg.pt-BR.vtt 478 Bytes
  • Part 07-Module 01-Lesson 01_Introduction to Neural Networks/15. Discrete vs Continuous-rdP-RPDFkl0.zh-CN.vtt 481 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/07. 07 Quiz Data Challenges V1-F8yc7BlV93c.pt-BR.vtt 482 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.zh-CN.vtt 487 Bytes
  • Part 07-Module 01-Lesson 01_Introduction to Neural Networks/16. Quiz - Softmax-NNoezNnAMTY.en.vtt 495 Bytes
  • Part 07-Module 01-Lesson 01_Introduction to Neural Networks/16. Quiz - Softmax-NNoezNnAMTY.pt-BR.vtt 501 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.en.vtt 505 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.en.vtt 508 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/28. Mini Project Introduction-Rgf3YVFWl-M.en.vtt 510 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/07. 07 Quiz Data Challenges V1-F8yc7BlV93c.en.vtt 526 Bytes
  • Part 01-Module 03-Lesson 02_Intro to Neural Networks/01. Introducing Luis-nto-stLuN6M.zh-CN.vtt 535 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/28. Mini Project Introduction-Rgf3YVFWl-M.pt-BR.vtt 538 Bytes
  • Part 07-Module 01-Lesson 05_Keras/06. Keras Lab-a50un22BsLI.zh-CN.vtt 540 Bytes
  • Part 07-Module 01-Lesson 01_Introduction to Neural Networks/21. Formula For Cross 1-qvr_ego_d6w.zh-CN.vtt 545 Bytes
  • Part 07-Module 01-Lesson 01_Introduction to Neural Networks/16. Quiz - Softmax-NNoezNnAMTY.zh-CN.vtt 548 Bytes
  • Part 07-Module 01-Lesson 01_Introduction to Neural Networks/15. Discrete vs Continuous-rdP-RPDFkl0.en.vtt 551 Bytes
  • Part 02-Module 05-Lesson 02_Convolutional Networks/07. Feature-Map-Sizes-Question-lp1NrLZnCUM.zh-CN.vtt 555 Bytes
  • Part 02-Module 05-Lesson 01_Deep Neural Networks/10. Regularization-Quiz-E0eEW6V0_sA.zh-CN.vtt 557 Bytes
  • Part 07-Module 01-Lesson 05_Keras/06. Keras Lab-a50un22BsLI.pt-BR.vtt 574 Bytes
  • Part 07-Module 01-Lesson 01_Introduction to Neural Networks/15. Discrete vs Continuous-rdP-RPDFkl0.pt-BR.vtt 584 Bytes
  • Part 07-Module 01-Lesson 05_Keras/06. Keras Lab-a50un22BsLI.en.vtt 586 Bytes
  • Part 01-Module 03-Lesson 02_Intro to Neural Networks/01. Introducing Luis-nto-stLuN6M.pt-BR.vtt 592 Bytes
  • Part 02-Module 05-Lesson 02_Convolutional Networks/07. Feature-Map-Sizes-Question-lp1NrLZnCUM.en.vtt 594 Bytes
  • Part 08-Module 01-Lesson 04_Convolutional Neural Networks/01. Introducing Alexis-38ExGpdyvJI.pt-BR.vtt 599 Bytes
  • Part 07-Module 01-Lesson 01_Introduction to Neural Networks/30. Non-Linear Data-F7ZiE8PQiSc.pt-BR.vtt 600 Bytes
  • Part 02-Module 04-Lesson 02_Intro to TensorFlow/13. 13 L One Hot Encoding-phYsxqlilUk.zh-CN.vtt 607 Bytes
  • Part 07-Module 01-Lesson 01_Introduction to Neural Networks/21. Formula For Cross 1-qvr_ego_d6w.en.vtt 607 Bytes
  • Part 01-Module 03-Lesson 02_Intro to Neural Networks/01. Introducing Luis-nto-stLuN6M.en-US.vtt 608 Bytes
  • Part 02-Module 05-Lesson 02_Convolutional Networks/02. Color-Question-BdQccpMwk80.zh-CN.vtt 612 Bytes
  • Part 08-Module 01-Lesson 04_Convolutional Neural Networks/01. Introducing Alexis-38ExGpdyvJI.zh-CN.vtt 615 Bytes
  • Part 07-Module 01-Lesson 01_Introduction to Neural Networks/30. Non-Linear Data-F7ZiE8PQiSc.zh-CN.vtt 624 Bytes
  • Part 09-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/07. Remember Gate-0qlm86HaXuU.zh-CN.vtt 632 Bytes
  • Part 07-Module 01-Lesson 01_Introduction to Neural Networks/30. Non-Linear Data-F7ZiE8PQiSc.en.vtt 633 Bytes
  • Part 02-Module 05-Lesson 01_Deep Neural Networks/10. Regularization-Quiz-E0eEW6V0_sA.en-US.vtt 638 Bytes
  • Part 03-Module 04-Lesson 04_Generate TV Scripts/01. Project-3-Intro-qNpv7IjQzo0.zh-CN.vtt 640 Bytes
  • Part 02-Module 05-Lesson 01_Deep Neural Networks/10. Regularization-Quiz-E0eEW6V0_sA.pt-BR.vtt 643 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/20. Solution ROC Curve-sdUUf6RRmXI.pt-BR.vtt 643 Bytes
  • Part 07-Module 01-Lesson 06_TensorFlow/17. Conclusion-wOiUQDgGD9E.zh-CN.vtt 655 Bytes
  • Part 02-Module 04-Lesson 02_Intro to TensorFlow/13. 13 L One Hot Encoding-phYsxqlilUk.pt-BR.vtt 657 Bytes
  • Part 02-Module 04-Lesson 02_Intro to TensorFlow/18. Numerical Stability-_SbGcOS-jcQ.zh-CN.vtt 663 Bytes
  • Part 02-Module 05-Lesson 02_Convolutional Networks/07. Feature-Map-Sizes-Question-lp1NrLZnCUM.pt-BR.vtt 663 Bytes
  • Part 03-Module 04-Lesson 04_Generate TV Scripts/01. Project-3-Intro-qNpv7IjQzo0.en.vtt 667 Bytes
  • Part 01-Module 02-Lesson 01_Regression/01. Welcome to Week One-10M2DnJuziE.zh-CN.vtt 670 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.pt-BR.vtt 678 Bytes
  • Part 02-Module 05-Lesson 02_Convolutional Networks/02. Color-Question-BdQccpMwk80.pt-BR.vtt 683 Bytes
  • Part 07-Module 01-Lesson 04_Sentiment Analysis/01. Introducing Andrew Trask-ltO71Bm8b3M.zh-CN.vtt 685 Bytes
  • Part 08-Module 01-Lesson 04_Convolutional Neural Networks/01. Introducing Alexis-38ExGpdyvJI.en.vtt 694 Bytes
  • Part 09-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/07. Remember Gate-0qlm86HaXuU.pt-BR.vtt 700 Bytes
  • Part 03-Module 04-Lesson 04_Generate TV Scripts/01. Project-3-Intro-qNpv7IjQzo0.en-US.vtt 701 Bytes
  • Part 02-Module 04-Lesson 02_Intro to TensorFlow/17. 17 L Transition Into Practical Aspects Of Learning-bKqkRFOOKoA.pt-BR.vtt 707 Bytes
  • Part 02-Module 04-Lesson 02_Intro to TensorFlow/13. 13 L One Hot Encoding-phYsxqlilUk.en.vtt 707 Bytes
  • Part 02-Module 04-Lesson 02_Intro to TensorFlow/17. 17 L Transition Into Practical Aspects Of Learning-bKqkRFOOKoA.zh-CN.vtt 709 Bytes
  • Part 11-Module 01-Lesson 02_The RL Framework The Problem/01. Introduction-X_9l_ZqXXBA.zh-CN.vtt 718 Bytes
  • Part 07-Module 01-Lesson 01_Introduction to Neural Networks/21. Formula For Cross 1-qvr_ego_d6w.pt-BR.vtt 719 Bytes
  • Part 01-Module 02-Lesson 01_Regression/01. Welcome to Week One-10M2DnJuziE.pt-BR.vtt 719 Bytes
  • Part 03-Module 04-Lesson 04_Generate TV Scripts/01. Project-3-Intro-qNpv7IjQzo0.pt-BR.vtt 720 Bytes
  • Part 07-Module 01-Lesson 06_TensorFlow/17. Conclusion-wOiUQDgGD9E.en.vtt 725 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.zh-CN.vtt 729 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/08. Solution Data Challenges-1z3o4niQuNg.pt-BR.vtt 730 Bytes
  • Part 09-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/07. Remember Gate-0qlm86HaXuU.en.vtt 734 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.zh-CN.vtt 734 Bytes
  • Part 02-Module 05-Lesson 02_Convolutional Networks/02. Color-Question-BdQccpMwk80.en.vtt 739 Bytes
  • Part 07-Module 01-Lesson 01_Introduction to Neural Networks/13. Error Functions-YfUUunxWIJw.zh-CN.vtt 739 Bytes
  • Part 07-Module 01-Lesson 04_Sentiment Analysis/01. Introducing Andrew Trask-ltO71Bm8b3M.en.vtt 746 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.pt-BR.vtt 754 Bytes
  • Part 01-Module 02-Lesson 01_Regression/01. Welcome to Week One-10M2DnJuziE.en-US.vtt 756 Bytes
  • Part 02-Module 04-Lesson 02_Intro to TensorFlow/18. Numerical Stability-_SbGcOS-jcQ.en-US.vtt 764 Bytes
  • Part 04-Module 02-Lesson 04_Generate Faces/01. Last Project - Congrats-UUqU8SYBZ9Q.zh-CN.vtt 764 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/14. Solution Sensitivty And Specificity-GBZjyeMjKxc.zh-CN.vtt 766 Bytes
  • Part 02-Module 04-Lesson 02_Intro to TensorFlow/21. 29 L Optimizing A Logistic Classifier-U_7nO1dm2tY.pt-BR.vtt 769 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/14. Solution Sensitivty And Specificity-GBZjyeMjKxc.pt-BR.vtt 772 Bytes
  • Part 02-Module 04-Lesson 02_Intro to TensorFlow/21. 29 L Optimizing A Logistic Classifier-U_7nO1dm2tY.zh-CN.vtt 777 Bytes
  • Part 11-Module 01-Lesson 10_Policy-Based Methods/01. M2L3 01 V1-YOSREyp04HA.zh-CN.vtt 787 Bytes
  • Part 07-Module 01-Lesson 01_Introduction to Neural Networks/13. Error Functions-YfUUunxWIJw.en.vtt 790 Bytes
  • Part 02-Module 04-Lesson 02_Intro to TensorFlow/01. Intro to Vincent-0_M6a04ofz8.zh-CN.vtt 790 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.en.vtt 791 Bytes
  • Part 04-Module 02-Lesson 04_Generate Faces/01. Last Project - Congrats-UUqU8SYBZ9Q.en.vtt 792 Bytes
  • Part 02-Module 04-Lesson 02_Intro to TensorFlow/17. 17 L Transition Into Practical Aspects Of Learning-bKqkRFOOKoA.en-US.vtt 793 Bytes
  • Part 11-Module 01-Lesson 10_Policy-Based Methods/06. M2L3 06 V1-RMjdQkl6CqE.zh-CN.vtt 804 Bytes
  • Part 07-Module 01-Lesson 01_Introduction to Neural Networks/13. Error Functions-YfUUunxWIJw.pt-BR.vtt 804 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/08. Solution Data Challenges-1z3o4niQuNg.zh-CN.vtt 810 Bytes
  • Part 07-Module 01-Lesson 01_Introduction to Neural Networks/19. Quiz - Cross 1--xxrisIvD0E.zh-CN.vtt 813 Bytes
  • Part 11-Module 01-Lesson 05_Monte Carlo Methods/01. Introduction-W2EP3riQSus.zh-CN.vtt 822 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/01. Introduction-ZCpXvVdIdnY.zh-CN.vtt 822 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/20. Solution ROC Curve-sdUUf6RRmXI.zh-CN.vtt 823 Bytes
  • Part 02-Module 04-Lesson 02_Intro to TensorFlow/18. Numerical Stability-_SbGcOS-jcQ.pt-BR.vtt 823 Bytes
  • Part 07-Module 01-Lesson 03_Training Neural Networks/02. Training Optimization-UiGKhx9pUYc.en.vtt 824 Bytes
  • Part 11-Module 01-Lesson 02_The RL Framework The Problem/01. Introduction-X_9l_ZqXXBA.en.vtt 830 Bytes
  • Part 02-Module 04-Lesson 02_Intro to TensorFlow/01. Intro to Vincent-0_M6a04ofz8.en.vtt 834 Bytes
  • Part 07-Module 01-Lesson 03_Training Neural Networks/02. Training Optimization-UiGKhx9pUYc.zh-CN.vtt 840 Bytes
  • Part 02-Module 04-Lesson 02_Intro to TensorFlow/01. Intro to Vincent-0_M6a04ofz8.pt-BR.vtt 841 Bytes
  • Part 02-Module 04-Lesson 02_Intro to TensorFlow/21. 29 L Optimizing A Logistic Classifier-U_7nO1dm2tY.en-US.vtt 845 Bytes
  • Part 04-Module 02-Lesson 04_Generate Faces/01. Last Project - Congrats-UUqU8SYBZ9Q.pt-BR.vtt 850 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/14. Solution Sensitivty And Specificity-GBZjyeMjKxc.en.vtt 850 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.en.vtt 853 Bytes
  • Part 11-Module 01-Lesson 10_Policy-Based Methods/01. M2L3 01 V1-YOSREyp04HA.en.vtt 856 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/01. Introduction-ZCpXvVdIdnY.pt-BR.vtt 857 Bytes
  • Part 11-Module 01-Lesson 02_The RL Framework The Problem/01. Introduction-X_9l_ZqXXBA.pt-BR.vtt 866 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/08. Solution Data Challenges-1z3o4niQuNg.en.vtt 867 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/01. Introduction-ZCpXvVdIdnY.en.vtt 874 Bytes
  • Part 07-Module 01-Lesson 03_Training Neural Networks/02. Training Optimization-UiGKhx9pUYc.pt-BR.vtt 874 Bytes
  • Part 11-Module 01-Lesson 04_Dynamic Programming/01. Introduction-ek2PD9RDrWw.zh-CN.vtt 883 Bytes
  • Part 11-Module 01-Lesson 11_Actor-Critic Methods/06. RL M2L4 06 Actor Critic With Advantage RENDER V1 V1-Bwd2OF7hJXQ.zh-CN.vtt 891 Bytes
  • Part 11-Module 01-Lesson 10_Policy-Based Methods/06. M2L3 06 V1-RMjdQkl6CqE.en.vtt 910 Bytes
  • Part 07-Module 01-Lesson 01_Introduction to Neural Networks/19. Quiz - Cross 1--xxrisIvD0E.en.vtt 918 Bytes
  • Part 07-Module 01-Lesson 01_Introduction to Neural Networks/img/codecogseqn-58.gif 919 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/06. 06 Image Challenge V3-Efnoj1KNPHw.zh-CN.vtt 920 Bytes
  • Part 11-Module 01-Lesson 05_Monte Carlo Methods/01. Introduction-W2EP3riQSus.en.vtt 937 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/06. 06 Image Challenge V3-Efnoj1KNPHw.pt-BR.vtt 937 Bytes
  • Part 01-Module 01-Lesson 01_Welcome/08. We Value Your Feedback-Dl23R0YCQ0U.zh-CN.vtt 937 Bytes
  • Part 04-Module 01-Lesson 01_Generative Adversarial Networks/09. Discriminator Network-nWXxT8OqCfs.pt-BR.vtt 939 Bytes
  • Part 10-Module 01-Lesson 01_Generative Adversarial Networks/09. Discriminator Network-nWXxT8OqCfs.pt-BR.vtt 939 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/20. Solution ROC Curve-sdUUf6RRmXI.en.vtt 943 Bytes
  • Part 02-Module 05-Lesson 02_Convolutional Networks/08. Convolutions Cont.-utOv-BKI_vo.zh-CN.vtt 944 Bytes
  • Part 07-Module 01-Lesson 01_Introduction to Neural Networks/19. Quiz - Cross 1--xxrisIvD0E.pt-BR.vtt 947 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/11. Solution Random Vs Preinitialized Thoughts-sOuoRZRKDzs.zh-CN.vtt 965 Bytes
  • Part 02-Module 05-Lesson 02_Convolutional Networks/08. Convolutions Cont.-utOv-BKI_vo.pt-BR.vtt 965 Bytes
  • Part 02-Module 05-Lesson 02_Convolutional Networks/07. Feature-Map-Sizes-Solution-W4xtf8LTz1c.zh-CN.vtt 969 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/09. Training The Neural Network-HwiI-UXUx-M.pt-BR.vtt 977 Bytes
  • Part 01-Module 01-Lesson 01_Welcome/08. We Value Your Feedback-Dl23R0YCQ0U.pt-BR.vtt 985 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/09. Training The Neural Network-HwiI-UXUx-M.zh-CN.vtt 995 Bytes
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/03. Survival Rate-QPlp3NeGuSk.zh-CN.vtt 996 Bytes
  • Part 03-Module 07-Lesson 03_Translation Project/01. Machine Translation Intro-5thBwpcYoiI.pt-BR.vtt 1.0 kB
  • Part 07-Module 01-Lesson 03_Training Neural Networks/14. Learning Rate-TwJ8aSZoh2U.zh-CN.vtt 1.0 kB
  • Part 07-Module 01-Lesson 01_Introduction to Neural Networks/09. XOR Perceptron-TF83GfjYLdw.zh-CN.vtt 1.0 kB
  • Part 07-Module 01-Lesson 01_Introduction to Neural Networks/09. XOR Perceptron-TF83GfjYLdw.pt-BR.vtt 1.0 kB
  • Part 01-Module 01-Lesson 01_Welcome/08. We Value Your Feedback-Dl23R0YCQ0U.en-US.vtt 1.0 kB
  • Part 02-Module 04-Lesson 02_Intro to TensorFlow/08. Supervised Classification-XTGsutypAPE.zh-CN.vtt 1.0 kB
  • Part 03-Module 07-Lesson 03_Translation Project/01. Machine Translation Intro-5thBwpcYoiI.zh-CN.vtt 1.0 kB
  • Part 11-Module 01-Lesson 11_Actor-Critic Methods/06. RL M2L4 06 Actor Critic With Advantage RENDER V1 V1-Bwd2OF7hJXQ.en.vtt 1.0 kB
  • Part 07-Module 01-Lesson 01_Introduction to Neural Networks/09. XOR Perceptron-TF83GfjYLdw.en.vtt 1.0 kB
  • Part 07-Module 01-Lesson 03_Training Neural Networks/09. Local Minima-gF_sW_nY-xw.zh-CN.vtt 1.0 kB
  • Part 07-Module 01-Lesson 03_Training Neural Networks/06. DL 53 Q Regularization-KxROxcRsHL8.zh-CN.vtt 1.0 kB
  • Part 11-Module 01-Lesson 05_Monte Carlo Methods/01. Introduction-W2EP3riQSus.pt-BR.vtt 1.0 kB
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/11. Solution Random Vs Preinitialized Thoughts-sOuoRZRKDzs.pt-BR.vtt 1.0 kB
  • Part 11-Module 01-Lesson 06_Temporal-Difference Methods/13. TD Control Expected Sarsa-kEKupCyU0P0.zh-CN.vtt 1.0 kB
  • Part 07-Module 01-Lesson 06_TensorFlow/17. Conclusion-wOiUQDgGD9E.pt-BR.vtt 1.0 kB
  • Part 02-Module 05-Lesson 02_Convolutional Networks/08. Convolutions Cont.-utOv-BKI_vo.en.vtt 1.1 kB
  • Part 04-Module 02-Lesson 04_Generate Faces/02. P5 Intro-jvJtHYBX7sM.en.vtt 1.1 kB
  • Part 11-Module 01-Lesson 04_Dynamic Programming/01. Introduction-ek2PD9RDrWw.en.vtt 1.1 kB
  • Part 02-Module 05-Lesson 02_Convolutional Networks/07. Feature-Map-Sizes-Solution-W4xtf8LTz1c.en.vtt 1.1 kB
  • Part 02-Module 05-Lesson 01_Deep Neural Networks/12. Dropout Pt. 2-8nG8zzJMbZw.pt-BR.vtt 1.1 kB
  • Part 07-Module 01-Lesson 03_Training Neural Networks/09. Local Minima-gF_sW_nY-xw.pt-BR.vtt 1.1 kB
  • Part 04-Module 01-Lesson 01_Generative Adversarial Networks/09. Discriminator Network-nWXxT8OqCfs.zh-CN.vtt 1.1 kB
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  • Part 01-Module 01-Lesson 01_Welcome/09. Getting-Setup-1SuxTnuQkeE.mp4 6.9 MB
  • Part 06-Module 01-Lesson 01_Welcome to Deep Learning/10. Getting-Setup-1SuxTnuQkeE.mp4 6.9 MB
  • Part 11-Module 01-Lesson 03_The RL Framework The Solution/09. Action-Value Functions-KJLaRfOOPGA.mp4 6.9 MB
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  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/18. ROC Curve-2Iw5TiGzJI4.mp4 7.0 MB
  • Part 11-Module 01-Lesson 02_The RL Framework The Problem/14. MDPs, Part 2-CUTtQvxKkNw.mp4 7.2 MB
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  • Part 01-Module 01-Lesson 01_Welcome/08. We Value Your Feedback-Dl23R0YCQ0U.mp4 7.2 MB
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  • Part 10-Module 01-Lesson 02_Deep Convolutional GANs/10. Hyperparameters Solution-Rt8MlVDtpi8.mp4 7.3 MB
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  • Part 01-Module 01-Lesson 01_Welcome/04. The first week-krK-TcGoYUI.mp4 7.4 MB
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  • Part 10-Module 01-Lesson 02_Deep Convolutional GANs/09. Building And Training The Network-nXKk9GI4X14.mp4 8.5 MB
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  • Part 11-Module 01-Lesson 04_Dynamic Programming/17. Policy Iteration-gqv7o1kBDc0.mp4 8.5 MB
  • Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/26. Conclusion-WhpE_8sTt-0.mp4 8.6 MB
  • Part 08-Module 01-Lesson 06_Transfer Learning in TensorFlow/10. Training And Testing-NLPtmQjGYCA.mp4 8.6 MB
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  • Part 11-Module 01-Lesson 01_Introduction to RL/02. Applications-CV6B84mKRNM.mp4 8.9 MB
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  • Part 11-Module 01-Lesson 11_Actor-Critic Methods/02. RL M2L4 02 A Better Score Function V2-_HBJ3l10-OE.mp4 9.1 MB
  • Part 08-Module 01-Lesson 04_Convolutional Neural Networks/18. CNNs in Keras Practical Example-faFvmGDwXX0.mp4 9.1 MB
  • Part 04-Module 02-Lesson 05_Semi-Supervised Learning/10. Model Loss Solution-r3DtohmychE.mp4 9.3 MB
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  • Part 03-Module 05-Lesson 01_Transfer Learning in TensorFlow/03. Building VGGNet-615SslQiGvo.mp4 9.3 MB
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  • Part 03-Module 06-Lesson 01_Sequence to Sequence/06. Preprocessing-ktQW6p9pOS4.mp4 9.3 MB
  • Part 01-Module 01-Lesson 01_Welcome/02. Projects You Will Build-yDPuDuCMST8.mp4 9.3 MB
  • Part 11-Module 01-Lesson 08_RL in Continuous Spaces/12. Kernel Functions-RdkPVYyVOvU.mp4 9.3 MB
  • Part 09-Module 01-Lesson 03_Implementation of RNN and LSTM/09. RNN Output-RkanDkcrTxs.mp4 9.4 MB
  • Part 03-Module 01-Lesson 01_Intro to Recurrent Neural Networks/10. RNN Output-RkanDkcrTxs.mp4 9.4 MB
  • Part 11-Module 01-Lesson 09_Deep Q-Learning/01. Intro to Deep Q-Learning-o3cmuUDhP3I.mp4 9.5 MB
  • Part 06-Module 01-Lesson 05_Matrix Math and NumPy Refresher/09. Matrix Transposes-NVK5xCY3CZE.mp4 9.5 MB
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  • Part 11-Module 01-Lesson 05_Monte Carlo Methods/12. MC Control Policy Evaluation-3_opwMzpEEI.mp4 9.5 MB
  • Part 02-Module 04-Lesson 02_Intro to TensorFlow/03. Solving Problems - Big And Small-WHcRQMGSbqg.mp4 9.6 MB
  • Part 08-Module 01-Lesson 04_Convolutional Neural Networks/23. Visualizing CNNs-mnqS_EhEZVg.mp4 9.6 MB
  • Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask/09. Mini Project 2 Solution-45ihpPaeO8E.mp4 9.7 MB
  • Part 07-Module 01-Lesson 04_Sentiment Analysis/10. Mini Project 2 Solution-45ihpPaeO8E.mp4 9.7 MB
  • Part 02-Module 01-Lesson 01_Model Evaluation and Validation/07. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.mp4 9.7 MB
  • Part 08-Module 01-Lesson 06_Transfer Learning in TensorFlow/05. Data Preparation-WfsDMq-b3y4.mp4 9.7 MB
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  • Part 11-Module 01-Lesson 01_Introduction to RL/04. OpenAI Gym-MktEOWp3QLg.mp4 9.9 MB
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  • Part 03-Module 02-Lesson 01_Embeddings and Word2vec/03. Subsampling Solution-MAUM_mV_lj8.mp4 10.1 MB
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  • Part 11-Module 01-Lesson 06_Temporal-Difference Methods/06. TD Prediction Action Values-1c029-7_9GA.mp4 10.2 MB
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  • Part 11-Module 01-Lesson 08_RL in Continuous Spaces/14. Summary-MTEBk43oByU.mp4 10.4 MB
  • Part 11-Module 01-Lesson 02_The RL Framework The Problem/10. Cumulative Reward-ysriH65lV9o.mp4 10.4 MB
  • Part 11-Module 01-Lesson 11_Actor-Critic Methods/04. RL M2L4 04 The Actor And The Critic V1-bvbE9F7urd4.mp4 10.5 MB
  • Part 11-Module 01-Lesson 02_The RL Framework The Problem/03. Episodic vs. Continuing Tasks-E1I-BPanSM8.mp4 10.6 MB
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  • Part 07-Module 01-Lesson 04_Sentiment Analysis/11. Building a Neural Network-aM2k7RTjjJI.mp4 10.7 MB
  • Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask/10. Building a Neural Network-aM2k7RTjjJI.mp4 10.7 MB
  • Part 08-Module 01-Lesson 04_Convolutional Neural Networks/20. Image Augmentation in Keras-odStujZq3GY.mp4 10.8 MB
  • Part 10-Module 01-Lesson 01_Generative Adversarial Networks/03. Other Generative Models, How GANs Work-MF0QCP1OC9I.mp4 10.8 MB
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  • Part 06-Module 01-Lesson 03_Anaconda/02. Why Anaconda-VXukXZv7SCQ.mp4 10.8 MB
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  • Part 11-Module 01-Lesson 08_RL in Continuous Spaces/09. Coarse Coding-Uu1J5KLAfTU.mp4 10.8 MB
  • Part 11-Module 01-Lesson 11_Actor-Critic Methods/01. RL M2L4 01 Actor Critic Methods RENDER V1 V1-FXhyxJzgt8U.mp4 10.9 MB
  • Part 11-Module 01-Lesson 09_Deep Q-Learning/03. Monte Carlo Learning-qOviWYwcvsg.mp4 10.9 MB
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  • Part 09-Module 01-Lesson 01_Recurrent Neural Networks/01. 00 Luis Introducing Ortal Newtitle121217-oXv7GiC-jrM.mp4 11.2 MB
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  • Part 08-Module 01-Lesson 03_Weight Initialization/02. Weight Initialization 1-6vXMYu_TQIA.mp4 11.3 MB
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  • Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask/01. Introducing Andrew Trask-U3PqQF-8qyI.mp4 11.3 MB
  • Part 11-Module 01-Lesson 08_RL in Continuous Spaces/07. Tile Coding-BRs7AnTZ_8k.mp4 11.6 MB
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  • Part 03-Module 04-Lesson 03_Sentiment Prediction RNN/02. Sentiment Prediction-uGN3rZJRiMY.mp4 11.8 MB
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  • Part 01-Module 03-Lesson 02_Intro to Neural Networks/11. Gradient Descent-Math-7sxA5Ap8AWM.mp4 11.8 MB
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  • Part 10-Module 01-Lesson 01_Generative Adversarial Networks/16. A Trained GAN-TR-uEJcjig4.mp4 12.2 MB
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  • Part 02-Module 02-Lesson 02_Intro to TFLearn/04. TFLearn-YF7S6hi4bnc.mp4 12.3 MB
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  • Part 10-Module 01-Lesson 01_Generative Adversarial Networks/02. Cool Things To Do With GANs-bo-ToTdhgew.mp4 12.6 MB
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  • Part 11-Module 01-Lesson 05_Monte Carlo Methods/18. MC Control Constant-alpha-QFV1nI9Zpoo.mp4 13.1 MB
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  • Part 11-Module 01-Lesson 09_Deep Q-Learning/02. Neural Nets as Value Functions-cBi7vLrk8QQ.mp4 13.3 MB
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  • Part 08-Module 01-Lesson 04_Convolutional Neural Networks/25. Transfer Learning-LHG5FltaR6I.mp4 14.0 MB
  • Part 01-Module 01-Lesson 01_Welcome/03. Meet Your Instructors -EcP0U4720sA.mp4 14.0 MB
  • Part 10-Module 01-Lesson 01_Generative Adversarial Networks/04. Games, Equilibrium, GANs Solution Render-2zi8DOWIVas.mp4 14.1 MB
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  • Part 03-Module 01-Lesson 01_Intro to Recurrent Neural Networks/06. Implementing a Character-wise RNN-KPCMn_jg2oY.mp4 14.3 MB
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  • Part 11-Module 01-Lesson 04_Dynamic Programming/20. Truncated Policy Iteration-a-RvCxlPMho.mp4 14.8 MB
  • Part 06-Module 01-Lesson 01_Welcome to Deep Learning/01. 01 Welcome To The Deep Learning Program-3QPEmwq2NaE.mp4 15.0 MB
  • Part 11-Module 01-Lesson 02_The RL Framework The Problem/11. Discounted Return-opXGNPwwn7g.mp4 15.0 MB
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  • Part 04-Module 02-Lesson 05_Semi-Supervised Learning/06. Model Loss Exercise-W7TawMNxBds.mp4 16.6 MB
  • Part 10-Module 01-Lesson 03_Semi-Supervised Learning/06. Model Loss Exercise-W7TawMNxBds.mp4 16.6 MB
  • Part 10-Module 01-Lesson 01_Generative Adversarial Networks/05. GANs Architecture -gaEs7ccZv_Q.mp4 16.7 MB
  • Part 04-Module 01-Lesson 01_Generative Adversarial Networks/05. GANs Architecture -gaEs7ccZv_Q.mp4 16.7 MB
  • Part 10-Module 01-Lesson 02_Deep Convolutional GANs/05. DCGAN And The Generator-CH6BxLTKt7s.mp4 16.8 MB
  • Part 04-Module 02-Lesson 03_Deep Convolutional GANs/05. DCGAN And The Generator-CH6BxLTKt7s.mp4 16.8 MB
  • Part 11-Module 01-Lesson 06_Temporal-Difference Methods/10. TD Control Sarsamax-4DxoYuR7aZ4.mp4 17.3 MB
  • Part 11-Module 01-Lesson 10_Policy-Based Methods/05. M2L3 05 V1-eZxxNNIZuwA.mp4 17.5 MB
  • Part 11-Module 01-Lesson 11_Actor-Critic Methods/07. Summary-hvYQ_3LgCYs.mp4 17.7 MB
  • Part 11-Module 01-Lesson 09_Deep Q-Learning/04. Temporal Difference Learning-lpmDi0QeUm8.mp4 17.8 MB
  • Part 09-Module 01-Lesson 01_Recurrent Neural Networks/19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.mp4 18.1 MB
  • Part 09-Module 01-Lesson 01_Recurrent Neural Networks/04. 03 RNN Applications V3 Final-6JbTNARuKII.mp4 18.1 MB
  • Part 11-Module 01-Lesson 09_Deep Q-Learning/05. Q-Learning-AI5gLgYMSq8.mp4 18.2 MB
  • Part 11-Module 01-Lesson 09_Deep Q-Learning/09. Deep Q-Learning Algorithm-MqTXoCxQ_eY.mp4 18.3 MB
  • Part 02-Module 02-Lesson 02_Intro to TFLearn/05. Sentiment Analysis Solution SC-s7FKYC5Zcm8.mp4 18.4 MB
  • Part 01-Module 01-Lesson 01_Welcome/01. Welcome-PdPdogFHnvE.mp4 18.4 MB
  • Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask/04. Framing the Problem-IsTOnkAKaJw.mp4 18.5 MB
  • Part 07-Module 01-Lesson 04_Sentiment Analysis/05. Framing the Problem-IsTOnkAKaJw.mp4 18.5 MB
  • Part 08-Module 01-Lesson 04_Convolutional Neural Networks/02. Applications of CNNs-HrYNL_1SV2Y.mp4 18.6 MB
  • Part 09-Module 01-Lesson 01_Recurrent Neural Networks/06. 06 FeedForward A V7 Final-4rCfnWbx8-0.mp4 18.6 MB
  • Part 04-Module 02-Lesson 05_Semi-Supervised Learning/05. Building The Generator And Discriminator-OWytckbbeGQ.mp4 18.8 MB
  • Part 10-Module 01-Lesson 03_Semi-Supervised Learning/05. Building The Generator And Discriminator-OWytckbbeGQ.mp4 18.8 MB
  • Part 09-Module 01-Lesson 01_Recurrent Neural Networks/18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.mp4 19.0 MB
  • Part 08-Module 01-Lesson 04_Convolutional Neural Networks/17. CNNs For Image Classification-l9vg_1YUlzg.mp4 19.0 MB
  • Part 11-Module 01-Lesson 10_Policy-Based Methods/03. M2L3 03 V2-TePX-0Bs23E.mp4 19.8 MB
  • Part 03-Module 03-Lesson 01_TensorBoard/04. TensorBoard Variables 1-QG41p4Wx5wc.mp4 19.9 MB
  • Part 03-Module 04-Lesson 03_Sentiment Prediction RNN/05. Building The RNN 1-XTD6slf64fM.mp4 20.0 MB
  • Part 09-Module 01-Lesson 06_Sentiment Prediction RNN/05. Building The RNN 1-XTD6slf64fM.mp4 20.0 MB
  • Part 09-Module 01-Lesson 01_Recurrent Neural Networks/05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.mp4 20.6 MB
  • Part 08-Module 01-Lesson 04_Convolutional Neural Networks/11. Convolutional Layers-RnM1D-XI--8.mp4 20.8 MB
  • Part 11-Module 01-Lesson 05_Monte Carlo Methods/10. MC Control Incremental Mean-E2RITH-2NUE.mp4 21.0 MB
  • Part 11-Module 01-Lesson 08_RL in Continuous Spaces/10. Function Approximation-UTGWVY6jEdg.mp4 21.1 MB
  • Part 11-Module 01-Lesson 03_The RL Framework The Solution/02. Policies-hc3LrvaC13U.mp4 21.2 MB
  • Part 07-Module 01-Lesson 04_Sentiment Analysis/16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.mp4 21.7 MB
  • Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask/15. Understanding Inefficiencies in our Network-4MuS-6ATxCU.mp4 21.7 MB
  • Part 11-Module 01-Lesson 06_Temporal-Difference Methods/01. Introduction-yXErXQulI_o.mp4 21.7 MB
  • Part 09-Module 01-Lesson 01_Recurrent Neural Networks/02. 01 RNN Intro V6 Final-AIQEqg6F38A.mp4 21.9 MB
  • Part 11-Module 01-Lesson 09_Deep Q-Learning/08. Fixed Q Targets-SWpyiEezfp4.mp4 22.0 MB
  • Part 11-Module 01-Lesson 10_Policy-Based Methods/04. M2L3 04 V1-QicxmyE5vTo.mp4 22.0 MB
  • Part 09-Module 01-Lesson 01_Recurrent Neural Networks/13. 16 RNN B V4 Final-wsif3p5t7CI.mp4 22.1 MB
  • Part 11-Module 01-Lesson 08_RL in Continuous Spaces/03. Discrete vs. Continuous Spaces-uHstLeRzaE8.mp4 22.4 MB
  • Part 08-Module 01-Lesson 05_Autoencoders/05. Convolutional Autoencoders-18SZVRaumGs.mp4 22.6 MB
  • Part 03-Module 08-Lesson 02_Autoencoders/05. Convolutional Autoencoders-18SZVRaumGs.mp4 22.6 MB
  • Part 09-Module 01-Lesson 01_Recurrent Neural Networks/17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.mp4 22.6 MB
  • Part 11-Module 01-Lesson 05_Monte Carlo Methods/13. MC Control Policy Improvement-2RKH-BInX7s.mp4 23.1 MB
  • Part 11-Module 01-Lesson 05_Monte Carlo Methods/06. MC Prediction Action Values-08tLtbh0xLs.mp4 23.1 MB
  • Part 09-Module 01-Lesson 01_Recurrent Neural Networks/16. 18 RNN Example V5 Final-MDLk3fhpTx0.mp4 23.2 MB
  • Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask/18. Further Noise Reduction-Kl3hWxizKVg.mp4 23.4 MB
  • Part 07-Module 01-Lesson 04_Sentiment Analysis/19. Further Noise Reduction-Kl3hWxizKVg.mp4 23.4 MB
  • Part 09-Module 01-Lesson 06_Sentiment Prediction RNN/07. Sentiment RNN 2-V9YGGjmoHS0.mp4 24.2 MB
  • Part 03-Module 04-Lesson 03_Sentiment Prediction RNN/07. Sentiment RNN 2-V9YGGjmoHS0.mp4 24.2 MB
  • Part 09-Module 01-Lesson 05_Embeddings and Word2vec/02. Implementing Word2Vec-7M431_f9HgE.mp4 24.5 MB
  • Part 03-Module 02-Lesson 01_Embeddings and Word2vec/02. Implementing Word2Vec-7M431_f9HgE.mp4 24.5 MB
  • Part 07-Module 01-Lesson 04_Sentiment Analysis/02. Andrew Trask - Intro-da1I0mea1jQ.mp4 24.9 MB
  • Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask/02. Andrew Trask - Intro-da1I0mea1jQ.mp4 24.9 MB
  • Part 09-Module 01-Lesson 01_Recurrent Neural Networks/03. 02 RNN History V4 Final-HbxAnYUfRnc.mp4 25.4 MB
  • Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask/06. Mini Project 1 Solution-l4r5l0HvHRI.mp4 26.0 MB
  • Part 07-Module 01-Lesson 04_Sentiment Analysis/07. Mini Project 1 Solution-l4r5l0HvHRI.mp4 26.0 MB
  • Part 11-Module 01-Lesson 09_Deep Q-Learning/06. Deep Q Network-GgtR_d1OB-M.mp4 26.9 MB
  • Part 09-Module 01-Lesson 01_Recurrent Neural Networks/05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.mp4 27.0 MB
  • Part 11-Module 01-Lesson 04_Dynamic Programming/08. Iterative Policy Evaluation-eDXIL_oOJHI.mp4 27.9 MB
  • Part 09-Module 01-Lesson 01_Recurrent Neural Networks/06. 07 FeedForward B V3-kTYbTVh1d0k.mp4 27.9 MB
  • Part 03-Module 03-Lesson 02_Siraj's Music Generation/02. How to Succeed in any Programming Interview-5KB5KAak6tM.mp4 28.3 MB
  • Part 11-Module 01-Lesson 04_Dynamic Programming/05. An Iterative Method-AX-hG3KvwzY.mp4 28.9 MB
  • Part 11-Module 01-Lesson 08_RL in Continuous Spaces/11. Linear Function Approximation-OJ5wrB7o-pI.mp4 30.1 MB
  • Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask/17. Mini Project 5 Solution-Hv86B_jjWTI.mp4 30.3 MB
  • Part 07-Module 01-Lesson 04_Sentiment Analysis/18. Mini Project 5 Solution-Hv86B_jjWTI.mp4 30.3 MB
  • Part 11-Module 01-Lesson 06_Temporal-Difference Methods/03. TD Prediction TD(0)-CsD6b0csU7o.mp4 31.6 MB
  • Part 11-Module 01-Lesson 04_Dynamic Programming/14. Policy Improvement-4_adUEK0IHg.mp4 31.9 MB
  • Part 11-Module 01-Lesson 10_Policy-Based Methods/02. M2L3 02 V2-ToS8vXGdODE.mp4 34.1 MB
  • Part 11-Module 01-Lesson 08_RL in Continuous Spaces/01. Deep Reinforcement Learning-GPjK124RU5g.mp4 34.8 MB
  • Part 11-Module 01-Lesson 05_Monte Carlo Methods/03. MC Prediction State Values-0q2wSWyuBj8.mp4 35.0 MB
  • Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask/21. Analysis What's Going on in the Weights-UHsT35pbpcE.mp4 35.3 MB
  • Part 07-Module 01-Lesson 04_Sentiment Analysis/22. Analysis What's Going on in the Weights-UHsT35pbpcE.mp4 35.3 MB
  • Part 09-Module 01-Lesson 01_Recurrent Neural Networks/08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.mp4 36.5 MB
  • Part 04-Module 02-Lesson 01_Siraj's One-Shot Learning/01. How to Learn from Little Data - Intro to Deep Learning #17-tChcZpBbTTA.mp4 37.1 MB
  • Part 09-Module 01-Lesson 01_Recurrent Neural Networks/25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.mp4 37.9 MB
  • Part 03-Module 04-Lesson 01_Siraj's Text Summarization/01. How to Make a Text Summarizer - Intro to Deep Learning #10-ogrJaOIuBx4.mp4 38.0 MB
  • Part 03-Module 05-Lesson 02_Siraj's Language Translation/01. How to Make a Language Translator - Intro to Deep Learning #11-nRBnh4qbPHI.mp4 38.3 MB
  • Part 09-Module 01-Lesson 01_Recurrent Neural Networks/10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.mp4 38.9 MB
  • Part 01-Module 01-Lesson 04_Applying Deep Learning/03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.mp4 40.0 MB
  • Part 06-Module 01-Lesson 02_Applying Deep Learning/03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.mp4 40.0 MB
  • Part 07-Module 01-Lesson 04_Sentiment Analysis/21. Mini Project 6 Solution-ji0famK7gOQ.mp4 41.0 MB
  • Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask/20. Mini Project 6 Solution-ji0famK7gOQ.mp4 41.0 MB
  • Part 11-Module 01-Lesson 09_Deep Q-Learning/10. DQN Improvements-Zfdbp93A2GU.mp4 41.3 MB
  • Part 03-Module 01-Lesson 02_Siraj's Stock Prediction/01. How to Predict Stock Prices Easily - Intro to Deep Learning #7-ftMq5ps503w.mp4 41.3 MB
  • Part 02-Module 05-Lesson 03_Siraj's Image Classification/02. How to Make an Image Classifier - Intro to Deep Learning #6-cAICT4Al5Ow.mp4 42.6 MB
  • Part 03-Module 02-Lesson 02_Siraj's Style Transfer/01. How to Generate Art - Intro to Deep Learning #8-Oex0eWoU7AQ.mp4 43.2 MB
  • Part 03-Module 03-Lesson 02_Siraj's Music Generation/01. How to Generate Music - Intro to Deep Learning #9-4DMm5Lhey1U.mp4 45.6 MB
  • Part 11-Module 01-Lesson 10_Policy-Based Methods/07. M2L3 07 V2-ZBLLGIN1EfU.mp4 45.7 MB
  • Part 04-Module 01-Lesson 02_Siraj's Video Generation/01. How to Generate Video - Intro to Deep Learning #15--E2N1kQc8MM.mp4 49.1 MB
  • Part 03-Module 06-Lesson 02_Siraj's Chatbot/01. How to Make a Chatbot - Intro to Deep Learning #12-t5qgjJIBy9g.mp4 49.9 MB
  • Part 11-Module 01-Lesson 09_Deep Q-Learning/07. Experience Replay-wX_-SZG-YMQ.mp4 50.7 MB
  • Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask/13. Understanding Neural Noise-ubqhh4Iv7O4.mp4 52.7 MB
  • Part 07-Module 01-Lesson 04_Sentiment Analysis/14. Understanding Neural Noise-ubqhh4Iv7O4.mp4 52.7 MB
  • Part 03-Module 08-Lesson 01_Siraj's Image Generation/01. How to Generate Images - Intro to Deep Learning #14-3-UDwk1U77s.mp4 53.2 MB
  • Part 03-Module 07-Lesson 02_Siraj's Reinforcement Learning/01. How to Win Slot Machines - Intro to Deep Learning #13-AIeWLTUYLZQ.mp4 54.5 MB
  • Part 07-Module 01-Lesson 04_Sentiment Analysis/13. Mini Project 3 Solution-imnxzCev4SI.mp4 57.2 MB
  • Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask/12. Mini Project 3 Solution-imnxzCev4SI.mp4 57.2 MB
  • Part 01-Module 02-Lesson 01_Regression/03. Siraj's Intro to Deep Learning - How to Make a Prediction-QN1ZwKszguE.mp4 66.5 MB
  • Part 03-Module 02-Lesson 03_Q&A with FloydHub Founders/01. Floyd QA-KUc59DPfBeo.mp4 226.1 MB

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