Udemy - Deep Learning Advanced Computer Vision (GANs, SSD, +More!) (5.2025)

磁力链接/BT种子名称

Udemy - Deep Learning Advanced Computer Vision (GANs, SSD, +More!) (5.2025)

磁力链接/BT种子简介

种子哈希：7622f95869c064ae1e83574b88852284cdcd1629
文件大小： 3.71G
已经下载：2次
下载速度：极快
收录时间：2025-10-14
最近下载：2025-10-14

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文件列表

  • 06. VGG and Transfer Learning/6. Transfer Learning Code (pt 1).mp4 157.5 MB
  • 03. Machine Learning Basics Review/6. Regression Notebook.mp4 156.1 MB
  • 06. VGG and Transfer Learning/7. Transfer Learning Code (pt 2).mp4 152.4 MB
  • 07. ResNet (and Inception)/3. Transfer Learning with ResNet in Code.mp4 142.8 MB
  • 05. Convolutional Neural Networks (CNN) Review/11. Improving CIFAR-10 Results.mp4 126.0 MB
  • 15. Setting Up Your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4 122.5 MB
  • 03. Machine Learning Basics Review/4. Classification Notebook.mp4 116.5 MB
  • 15. Setting Up Your Environment (FAQ by Student Request)/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 114.3 MB
  • 10. Class Activation Maps/2. Class Activation Maps (Code).mp4 95.7 MB
  • 08. Object Detection (SSD RetinaNet)/9. SSD for Video Object Detection.mp4 95.1 MB
  • 08. Object Detection (SSD RetinaNet)/8. SSD Tensorflow Object Detection API (pt 2).mp4 91.6 MB
  • 17. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 85.1 MB
  • 02. Google Colab & Getting Setup/3. Uploading your own data to Google Colab.mp4 82.0 MB
  • 17. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 79.3 MB
  • 16. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 67.4 MB
  • 07. ResNet (and Inception)/5. How to Build ResNet in Code.mp4 62.8 MB
  • 02. Google Colab & Getting Setup/2. Intro to Google Colab, how to use a GPU or TPU for free.mp4 59.9 MB
  • 16. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4 58.9 MB
  • 02. Google Colab & Getting Setup/4. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.mp4 58.3 MB
  • 08. Object Detection (SSD RetinaNet)/7. SSD Tensorflow Object Detection API (pt 1).mp4 56.8 MB
  • 04. Artificial Neural Networks (ANN) Review/10. ANN for Regression.mp4 56.5 MB
  • 09. Neural Style Transfer/5. Code pt 2.mp4 50.4 MB
  • 12. Object Localization Project/3. Localization Code (pt 1).mp4 49.8 MB
  • 09. Neural Style Transfer/4. Code pt 1.mp4 49.2 MB
  • 11. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 47.6 MB
  • 11. GANs (Generative Adversarial Networks)/2. GAN Code.mp4 47.6 MB
  • 12. Object Localization Project/11. Localization Code (pt 5).mp4 46.9 MB
  • 12. Object Localization Project/5. Localization Code (pt 2).mp4 46.5 MB
  • 12. Object Localization Project/15. Localization Code (pt 7).mp4 45.1 MB
  • 17. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 44.5 MB
  • 12. Object Localization Project/13. Localization Code (pt 6).mp4 42.6 MB
  • 05. Convolutional Neural Networks (CNN) Review/5. CNN Architecture.mp4 42.2 MB
  • 04. Artificial Neural Networks (ANN) Review/4. Activation Functions.mp4 41.1 MB
  • 03. Machine Learning Basics Review/8. How does a model learn.mp4 39.5 MB
  • 05. Convolutional Neural Networks (CNN) Review/6. CNN Code Preparation.mp4 38.2 MB
  • 03. Machine Learning Basics Review/1. What is Machine Learning.mp4 36.1 MB
  • 05. Convolutional Neural Networks (CNN) Review/1. What is Convolution (part 1).mp4 33.5 MB
  • 05. Convolutional Neural Networks (CNN) Review/4. Convolution on Color Images.mp4 31.9 MB
  • 13. Keras and Tensorflow 2 Basics Review/4. (Review) Keras Neural Network in Code.mp4 31.7 MB
  • 12. Object Localization Project/10. Localization Code Outline (pt 5).mp4 31.7 MB
  • 16. Extra Help With Python Coding for Beginners (FAQ by Student Request)/5. How to use Github & Extra Coding Tips (Optional).mp4 31.1 MB
  • 04. Artificial Neural Networks (ANN) Review/9. ANN for Image Classification.mp4 30.6 MB
  • 13. Keras and Tensorflow 2 Basics Review/2. (Review) Tensorflow Neural Network in Code.mp4 29.9 MB
  • 03. Machine Learning Basics Review/2. Code Preparation (Classification Theory).mp4 29.7 MB
  • 09. Neural Style Transfer/2. Style Transfer Theory.mp4 28.6 MB
  • 04. Artificial Neural Networks (ANN) Review/6. How to Represent Images.mp4 28.2 MB
  • 02. Google Colab & Getting Setup/1. Where to get the code, notebooks, and data.mp4 28.2 MB
  • 09. Neural Style Transfer/6. Code pt 3.mp4 28.0 MB
  • 03. Machine Learning Basics Review/10. Saving and Loading a Model.mp4 26.4 MB
  • 12. Object Localization Project/1. Localization Introduction and Outline.mp4 25.9 MB
  • 05. Convolutional Neural Networks (CNN) Review/7. CNN for Fashion MNIST.mp4 25.8 MB
  • 10. Class Activation Maps/1. Class Activation Maps (Theory).mp4 24.8 MB
  • 13. Keras and Tensorflow 2 Basics Review/1. (Review) Tensorflow Basics.mp4 24.5 MB
  • 12. Object Localization Project/7. Localization Code (pt 3).mp4 23.4 MB
  • 04. Artificial Neural Networks (ANN) Review/8. Code Preparation (ANN).mp4 23.3 MB
  • 07. ResNet (and Inception)/2. ResNet Architecture.mp4 23.0 MB
  • 16. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2).mp4 21.9 MB
  • 02. Google Colab & Getting Setup/5. Temporary 403 Errors.mp4 21.9 MB
  • 04. Artificial Neural Networks (ANN) Review/3. The Geometrical Picture.mp4 21.8 MB
  • 04. Artificial Neural Networks (ANN) Review/5. Multiclass Classification.mp4 21.4 MB
  • 18. Appendix FAQ Finale/2. BONUS.mp4 20.5 MB
  • 03. Machine Learning Basics Review/7. The Neuron.mp4 20.4 MB
  • 04. Artificial Neural Networks (ANN) Review/2. Forward Propagation.mp4 20.1 MB
  • 03. Machine Learning Basics Review/11. Suggestion Box.mp4 19.8 MB
  • 12. Object Localization Project/2. Localization Code Outline (pt 1).mp4 19.8 MB
  • 09. Neural Style Transfer/3. Optimizing the Loss.mp4 19.6 MB
  • 14. Course Conclusion/1. What to Learn Next.mp4 19.2 MB
  • 17. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).mp4 18.7 MB
  • 08. Object Detection (SSD RetinaNet)/4. How would you find an object in an image.mp4 18.4 MB
  • 13. Keras and Tensorflow 2 Basics Review/5. (Review) Keras Functional API.mp4 17.9 MB
  • 06. VGG and Transfer Learning/3. Transfer Learning.mp4 17.9 MB
  • 03. Machine Learning Basics Review/9. Making Predictions.mp4 17.5 MB
  • 05. Convolutional Neural Networks (CNN) Review/8. CNN for CIFAR-10.mp4 17.3 MB
  • 01. Welcome/3. How to Succeed in this Course.mp4 17.0 MB
  • 12. Object Localization Project/12. Localization Code Outline (pt 6).mp4 16.4 MB
  • 05. Convolutional Neural Networks (CNN) Review/9. Data Augmentation.mp4 16.0 MB
  • 03. Machine Learning Basics Review/5. Code Preparation (Regression Theory).mp4 13.3 MB
  • 08. Object Detection (SSD RetinaNet)/2. Object Localization.mp4 12.7 MB
  • 04. Artificial Neural Networks (ANN) Review/1. Artificial Neural Networks Section Introduction.mp4 12.4 MB
  • 06. VGG and Transfer Learning/2. What's so special about VGG.mp4 12.3 MB
  • 05. Convolutional Neural Networks (CNN) Review/3. What is Convolution (part 3).mp4 11.9 MB
  • 08. Object Detection (SSD RetinaNet)/10. Optional Intersection over Union & Non-max Suppression.mp4 11.8 MB
  • 13. Keras and Tensorflow 2 Basics Review/3. (Review) Keras Discussion.mp4 11.7 MB
  • 06. VGG and Transfer Learning/5. 2 Approaches to Transfer Learning.mp4 11.5 MB
  • 07. ResNet (and Inception)/7. Optional Inception.mp4 11.2 MB
  • 08. Object Detection (SSD RetinaNet)/6. The Problem of Shape.mp4 11.2 MB
  • 08. Object Detection (SSD RetinaNet)/5. The Problem of Scale.mp4 11.0 MB
  • 02. Google Colab & Getting Setup/codes.rar 10.7 MB
  • 03. Machine Learning Basics Review/3. Beginner's Code Preamble.mp4 10.5 MB
  • 05. Convolutional Neural Networks (CNN) Review/2. What is Convolution (part 2).mp4 10.2 MB
  • 12. Object Localization Project/9. Localization Code (pt 4).mp4 9.9 MB
  • 05. Convolutional Neural Networks (CNN) Review/10. Batch Normalization.mp4 9.4 MB
  • 15. Setting Up Your Environment (FAQ by Student Request)/1. Pre-Installation Check.mp4 9.4 MB
  • 12. Object Localization Project/14. Localization Code Outline (pt 7).mp4 9.1 MB
  • 07. ResNet (and Inception)/8. Different sized images using the same network.mp4 8.6 MB
  • 01. Welcome/2. Outline and Perspective.mp4 8.4 MB
  • 12. Object Localization Project/4. Localization Code Outline (pt 2).mp4 8.3 MB
  • 16. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3.mp4 8.0 MB
  • 01. Welcome/1. Introduction.mp4 7.6 MB
  • 06. VGG and Transfer Learning/1. VGG Section Intro.mp4 7.3 MB
  • 07. ResNet (and Inception)/4. Blood Cell Images Dataset.mp4 6.8 MB
  • 07. ResNet (and Inception)/1. ResNet Section Intro.mp4 6.7 MB
  • 08. Object Detection (SSD RetinaNet)/11. SSD Section Summary.mp4 6.6 MB
  • 09. Neural Style Transfer/7. Style Transfer Section Summary.mp4 6.5 MB
  • 18. Appendix FAQ Finale/1. What is the Appendix.mp4 6.4 MB
  • 07. ResNet (and Inception)/6. 1x1 Convolutions.mp4 6.0 MB
  • 08. Object Detection (SSD RetinaNet)/1. SSD Section Intro.mp4 6.0 MB
  • 12. Object Localization Project/8. Localization Code Outline (pt 4).mp4 5.9 MB
  • 08. Object Detection (SSD RetinaNet)/3. What is Object Detection.mp4 5.5 MB
  • 12. Object Localization Project/6. Localization Code Outline (pt 3).mp4 5.4 MB
  • 07. ResNet (and Inception)/9. ResNet Section Summary.mp4 4.8 MB
  • 13. Keras and Tensorflow 2 Basics Review/6. (Review) How to easily convert Keras into Tensorflow 2.0 code.mp4 4.4 MB
  • 06. VGG and Transfer Learning/4. Relationship to Greedy Layer-Wise Pretraining.mp4 3.5 MB
  • 06. VGG and Transfer Learning/8. VGG Section Summary.mp4 3.4 MB
  • 09. Neural Style Transfer/1. Style Transfer Section Intro.mp4 3.1 MB
  • 04. Artificial Neural Networks (ANN) Review/7. Color Mixing Clarification.mp4 2.0 MB
  • 17. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt 33.7 kB
  • 03. Machine Learning Basics Review/6. Regression Notebook.vtt 33.5 kB
  • 05. Convolutional Neural Networks (CNN) Review/5. CNN Architecture.vtt 29.5 kB
  • 03. Machine Learning Basics Review/4. Classification Notebook.vtt 27.5 kB
  • 06. VGG and Transfer Learning/7. Transfer Learning Code (pt 2).vtt 26.0 kB
  • 06. VGG and Transfer Learning/6. Transfer Learning Code (pt 1).vtt 25.8 kB
  • 04. Artificial Neural Networks (ANN) Review/4. Activation Functions.vtt 24.0 kB
  • 16. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).vtt 23.9 kB
  • 07. ResNet (and Inception)/3. Transfer Learning with ResNet in Code.vtt 22.6 kB
  • 05. Convolutional Neural Networks (CNN) Review/4. Convolution on Color Images.vtt 21.8 kB
  • 03. Machine Learning Basics Review/2. Code Preparation (Classification Theory).vtt 21.7 kB
  • 11. GANs (Generative Adversarial Networks)/1. GAN Theory.vtt 21.5 kB
  • 05. Convolutional Neural Networks (CNN) Review/1. What is Convolution (part 1).vtt 21.4 kB
  • 05. Convolutional Neural Networks (CNN) Review/6. CNN Code Preparation.vtt 20.9 kB
  • 15. Setting Up Your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.vtt 20.6 kB
  • 05. Convolutional Neural Networks (CNN) Review/11. Improving CIFAR-10 Results.vtt 20.3 kB
  • 03. Machine Learning Basics Review/1. What is Machine Learning.vtt 20.1 kB
  • 12. Object Localization Project/1. Localization Introduction and Outline.vtt 19.2 kB
  • 07. ResNet (and Inception)/2. ResNet Architecture.vtt 17.6 kB
  • 17. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).vtt 17.4 kB
  • 04. Artificial Neural Networks (ANN) Review/8. Code Preparation (ANN).vtt 17.3 kB
  • 04. Artificial Neural Networks (ANN) Review/6. How to Represent Images.vtt 16.9 kB
  • 08. Object Detection (SSD RetinaNet)/7. SSD Tensorflow Object Detection API (pt 1).vtt 16.6 kB
  • 16. Extra Help With Python Coding for Beginners (FAQ by Student Request)/5. How to use Github & Extra Coding Tips (Optional).vtt 16.6 kB
  • 12. Object Localization Project/15. Localization Code (pt 7).vtt 16.4 kB
  • 11. GANs (Generative Adversarial Networks)/2. GAN Code.vtt 16.2 kB
  • 17. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).vtt 15.7 kB
  • 09. Neural Style Transfer/2. Style Transfer Theory.vtt 15.6 kB
  • 08. Object Detection (SSD RetinaNet)/8. SSD Tensorflow Object Detection API (pt 2).vtt 15.3 kB
  • 12. Object Localization Project/2. Localization Code Outline (pt 1).vtt 15.3 kB
  • 03. Machine Learning Basics Review/8. How does a model learn.vtt 15.3 kB
  • 02. Google Colab & Getting Setup/2. Intro to Google Colab, how to use a GPU or TPU for free.vtt 15.0 kB
  • 02. Google Colab & Getting Setup/4. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.vtt 14.9 kB
  • 12. Object Localization Project/5. Localization Code (pt 2).vtt 14.7 kB
  • 15. Setting Up Your Environment (FAQ by Student Request)/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt 14.5 kB
  • 16. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.vtt 14.5 kB
  • 16. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2).vtt 14.0 kB
  • 04. Artificial Neural Networks (ANN) Review/10. ANN for Regression.vtt 13.8 kB
  • 08. Object Detection (SSD RetinaNet)/9. SSD for Video Object Detection.vtt 13.6 kB
  • 03. Machine Learning Basics Review/7. The Neuron.vtt 13.4 kB
  • 04. Artificial Neural Networks (ANN) Review/2. Forward Propagation.vtt 12.9 kB
  • 12. Object Localization Project/3. Localization Code (pt 1).vtt 12.7 kB
  • 02. Google Colab & Getting Setup/3. Uploading your own data to Google Colab.vtt 12.6 kB
  • 04. Artificial Neural Networks (ANN) Review/3. The Geometrical Picture.vtt 12.4 kB
  • 05. Convolutional Neural Networks (CNN) Review/9. Data Augmentation.vtt 12.4 kB
  • 04. Artificial Neural Networks (ANN) Review/5. Multiclass Classification.vtt 12.1 kB
  • 07. ResNet (and Inception)/5. How to Build ResNet in Code.vtt 12.1 kB
  • 12. Object Localization Project/10. Localization Code Outline (pt 5).vtt 11.6 kB
  • 06. VGG and Transfer Learning/3. Transfer Learning.vtt 11.4 kB
  • 08. Object Detection (SSD RetinaNet)/4. How would you find an object in an image.vtt 11.1 kB
  • 12. Object Localization Project/11. Localization Code (pt 5).vtt 11.1 kB
  • 09. Neural Style Transfer/3. Optimizing the Loss.vtt 11.1 kB
  • 04. Artificial Neural Networks (ANN) Review/9. ANN for Image Classification.vtt 10.4 kB
  • 10. Class Activation Maps/2. Class Activation Maps (Code).vtt 10.2 kB
  • 13. Keras and Tensorflow 2 Basics Review/3. (Review) Keras Discussion.vtt 10.2 kB
  • 12. Object Localization Project/12. Localization Code Outline (pt 6).vtt 10.1 kB
  • 12. Object Localization Project/13. Localization Code (pt 6).vtt 10.0 kB
  • 09. Neural Style Transfer/4. Code pt 1.vtt 9.9 kB
  • 06. VGG and Transfer Learning/2. What's so special about VGG.vtt 9.9 kB
  • 09. Neural Style Transfer/5. Code pt 2.vtt 9.6 kB
  • 01. Welcome/2. Outline and Perspective.vtt 9.6 kB
  • 07. ResNet (and Inception)/7. Optional Inception.vtt 9.5 kB
  • 03. Machine Learning Basics Review/5. Code Preparation (Regression Theory).vtt 9.5 kB
  • 10. Class Activation Maps/1. Class Activation Maps (Theory).vtt 9.5 kB
  • 08. Object Detection (SSD RetinaNet)/2. Object Localization.vtt 8.9 kB
  • 04. Artificial Neural Networks (ANN) Review/1. Artificial Neural Networks Section Introduction.vtt 8.6 kB
  • 03. Machine Learning Basics Review/9. Making Predictions.vtt 8.5 kB
  • 05. Convolutional Neural Networks (CNN) Review/7. CNN for Fashion MNIST.vtt 8.5 kB
  • 05. Convolutional Neural Networks (CNN) Review/3. What is Convolution (part 3).vtt 8.3 kB
  • 13. Keras and Tensorflow 2 Basics Review/4. (Review) Keras Neural Network in Code.vtt 7.9 kB
  • 02. Google Colab & Getting Setup/Advanced Computer Vision - Data Links.docx 7.8 kB
  • 05. Convolutional Neural Networks (CNN) Review/2. What is Convolution (part 2).vtt 7.6 kB
  • 03. Machine Learning Basics Review/3. Beginner's Code Preamble.vtt 7.3 kB
  • 05. Convolutional Neural Networks (CNN) Review/10. Batch Normalization.vtt 7.2 kB
  • 18. Appendix FAQ Finale/2. BONUS.vtt 7.2 kB
  • 12. Object Localization Project/14. Localization Code Outline (pt 7).vtt 7.0 kB
  • 08. Object Detection (SSD RetinaNet)/10. Optional Intersection over Union & Non-max Suppression.vtt 6.8 kB
  • 12. Object Localization Project/4. Localization Code Outline (pt 2).vtt 6.8 kB
  • 08. Object Detection (SSD RetinaNet)/1. SSD Section Intro.vtt 6.8 kB
  • 15. Setting Up Your Environment (FAQ by Student Request)/1. Pre-Installation Check.vtt 6.7 kB
  • 02. Google Colab & Getting Setup/1. Where to get the code, notebooks, and data.vtt 6.5 kB
  • 16. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3.vtt 6.4 kB
  • 13. Keras and Tensorflow 2 Basics Review/1. (Review) Tensorflow Basics.vtt 6.1 kB
  • 13. Keras and Tensorflow 2 Basics Review/2. (Review) Tensorflow Neural Network in Code.vtt 6.1 kB
  • 06. VGG and Transfer Learning/5. 2 Approaches to Transfer Learning.vtt 5.8 kB
  • 05. Convolutional Neural Networks (CNN) Review/8. CNN for CIFAR-10.vtt 5.8 kB
  • 07. ResNet (and Inception)/8. Different sized images using the same network.vtt 5.7 kB
  • 12. Object Localization Project/7. Localization Code (pt 3).vtt 5.5 kB
  • 13. Keras and Tensorflow 2 Basics Review/5. (Review) Keras Functional API.vtt 5.5 kB
  • 07. ResNet (and Inception)/6. 1x1 Convolutions.vtt 5.2 kB
  • 03. Machine Learning Basics Review/10. Saving and Loading a Model.vtt 5.1 kB
  • 12. Object Localization Project/8. Localization Code Outline (pt 4).vtt 5.0 kB
  • 03. Machine Learning Basics Review/11. Suggestion Box.vtt 4.9 kB
  • 08. Object Detection (SSD RetinaNet)/6. The Problem of Shape.vtt 4.9 kB
  • 08. Object Detection (SSD RetinaNet)/5. The Problem of Scale.vtt 4.9 kB
  • 09. Neural Style Transfer/6. Code pt 3.vtt 4.7 kB
  • 01. Welcome/3. How to Succeed in this Course.vtt 4.7 kB
  • 12. Object Localization Project/6. Localization Code Outline (pt 3).vtt 4.6 kB
  • 14. Course Conclusion/1. What to Learn Next.vtt 4.5 kB
  • 09. Neural Style Transfer/1. Style Transfer Section Intro.vtt 4.1 kB
  • 07. ResNet (and Inception)/4. Blood Cell Images Dataset.vtt 4.1 kB
  • 07. ResNet (and Inception)/1. ResNet Section Intro.vtt 4.1 kB
  • 06. VGG and Transfer Learning/1. VGG Section Intro.vtt 4.0 kB
  • 18. Appendix FAQ Finale/1. What is the Appendix.vtt 4.0 kB
  • 08. Object Detection (SSD RetinaNet)/11. SSD Section Summary.vtt 3.9 kB
  • 08. Object Detection (SSD RetinaNet)/3. What is Object Detection.vtt 3.8 kB
  • 02. Google Colab & Getting Setup/5. Temporary 403 Errors.vtt 3.8 kB
  • 01. Welcome/1. Introduction.vtt 3.5 kB
  • 09. Neural Style Transfer/7. Style Transfer Section Summary.vtt 3.2 kB
  • 07. ResNet (and Inception)/9. ResNet Section Summary.vtt 3.2 kB
  • 06. VGG and Transfer Learning/4. Relationship to Greedy Layer-Wise Pretraining.vtt 2.9 kB
  • 06. VGG and Transfer Learning/8. VGG Section Summary.vtt 2.3 kB
  • 12. Object Localization Project/9. Localization Code (pt 4).vtt 2.3 kB
  • 13. Keras and Tensorflow 2 Basics Review/6. (Review) How to easily convert Keras into Tensorflow 2.0 code.vtt 2.3 kB
  • 04. Artificial Neural Networks (ANN) Review/7. Color Mixing Clarification.vtt 1.2 kB
  • 02. Google Colab & Getting Setup/1. Data-Links.txt 96 Bytes
  • 02. Google Colab & Getting Setup/1. Github-Link.txt 82 Bytes
  • 02. Google Colab & Getting Setup/1. Code-Link.txt 64 Bytes

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