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文件列表

  • 1. neural-networks-deep-learning/01_introduction-to-deep-learning/05_heroes-of-deep-learning-optional/01_geoffrey-hinton-interview.mp4 198.3 MB
  • 4. convolutional-neural-networks/01_foundations-of-convolutional-neural-networks/04_heroes-of-deep-learning-optional/01_yann-lecun-interview.mp4 175.5 MB
  • 2. deep-neural-network/01_practical-aspects-of-deep-learning/06_heroes-of-deep-learning-optional/01_yoshua-bengio-interview.mp4 120.2 MB
  • 3. machine-learning-projects/02_ml-strategy/06_heroes-of-deep-learning-optional/01_ruslan-salakhutdinov-interview.mp4 108.6 MB
  • 3. machine-learning-projects/01_ml-strategy/06_heroes-of-deep-learning-optional/01_andrej-karpathy-interview.mp4 88.1 MB
  • 1. neural-networks-deep-learning/02_neural-networks-basics/06_heroes-of-deep-learning-optional/01_pieter-abbeel-interview.mp4 82.8 MB
  • 1. neural-networks-deep-learning/01_introduction-to-deep-learning/05_heroes-of-deep-learning-optional/01_geoffrey-hinton-interview_3307169-Geoffrey_Hinton_interview-extended-description-mixed.mp4 74.6 MB
  • 4. convolutional-neural-networks/01_foundations-of-convolutional-neural-networks/04_heroes-of-deep-learning-optional/01_yann-lecun-interview_3307380-Yann_LeCun_Interview-extended-description-mixed.mp4 72.5 MB
  • 2. deep-neural-network/02_optimization-algorithms/03_heroes-of-deep-learning-optional/01_yuanqing-lin-interview.mp4 67.2 MB
  • 1. neural-networks-deep-learning/03_shallow-neural-networks/05_heroes-of-deep-learning-optional/01_ian-goodfellow-interview.mp4 56.7 MB
  • 2. deep-neural-network/01_practical-aspects-of-deep-learning/06_heroes-of-deep-learning-optional/01_yoshua-bengio-interview_3307260-Yoshua_Bengio_interview-extended-description-mixed.mp4 53.2 MB
  • 3. machine-learning-projects/02_ml-strategy/06_heroes-of-deep-learning-optional/01_ruslan-salakhutdinov-interview_3307275-Ruslan_Salakhutdinov_interview-extended-description-mixed.mp4 42.0 MB
  • 3. machine-learning-projects/01_ml-strategy/06_heroes-of-deep-learning-optional/01_andrej-karpathy-interview_3307267-Andrej_Karpathy_interview-extended-description-mixed.mp4 35.3 MB
  • 1. neural-networks-deep-learning/02_neural-networks-basics/06_heroes-of-deep-learning-optional/01_pieter-abbeel-interview_3307177-Pieter_Abbeel_interview-extended-description-mixed.mp4 34.7 MB
  • 5. nlp-sequence-models/01_recurrent-neural-networks/01_recurrent-neural-networks/10_gated-recurrent-unit-gru.mp4 31.8 MB
  • 3. machine-learning-projects/02_ml-strategy/03_learning-from-multiple-tasks/02_multi-task-learning.mp4 30.4 MB
  • 1. neural-networks-deep-learning/03_shallow-neural-networks/01_shallow-neural-network/10_backpropagation-intuition-optional.mp4 30.0 MB
  • 3. machine-learning-projects/02_ml-strategy/02_mismatched-training-and-dev-test-set/02_bias-and-variance-with-mismatched-data-distributions.mp4 29.4 MB
  • 4. convolutional-neural-networks/04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/04_triplet-loss.mp4 28.2 MB
  • 4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/01_case-studies/02_classic-networks.mp4 28.0 MB
  • 3. machine-learning-projects/02_ml-strategy/01_error-analysis/02_cleaning-up-incorrectly-labeled-data.mp4 27.9 MB
  • 5. nlp-sequence-models/01_recurrent-neural-networks/01_recurrent-neural-networks/03_recurrent-neural-network-model.mp4 27.2 MB
  • 4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/01_case-studies/09_mobilenet.mp4 26.7 MB
  • 5. nlp-sequence-models/03_sequence-models-attention-mechanism/01_various-sequence-to-sequence-architectures/06_bleu-score-optional.mp4 26.6 MB
  • 2. deep-neural-network/03_hyperparameter-tuning-batch-normalization-and-programming-frameworks/04_introduction-to-programming-frameworks/02_tensorflow.mp4 26.2 MB
  • 2. deep-neural-network/02_optimization-algorithms/03_heroes-of-deep-learning-optional/01_yuanqing-lin-interview_3307261-Yuanqing_Lin_interview-extended-description-mixed.mp4 26.1 MB
  • 4. convolutional-neural-networks/01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/07_one-layer-of-a-convolutional-network.mp4 25.0 MB
  • 5. nlp-sequence-models/04_transformer-network/01_transformers/02_self-attention.mp4 24.7 MB
  • 4. convolutional-neural-networks/03_object-detection/01_detection-algorithms/06_bounding-box-predictions.mp4 24.6 MB
  • 4. convolutional-neural-networks/04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/04_triplet-loss_3307367-Triplet_Loss-extended-description-mixed.mp4 24.1 MB
  • 5. nlp-sequence-models/04_transformer-network/01_transformers/04_transformer-network.mp4 24.0 MB
  • 2. deep-neural-network/03_hyperparameter-tuning-batch-normalization-and-programming-frameworks/02_batch-normalization/04_why-does-batch-norm-work.mp4 24.0 MB
  • 1. neural-networks-deep-learning/03_shallow-neural-networks/05_heroes-of-deep-learning-optional/01_ian-goodfellow-interview_3307172-Ian_Goodfellow_interview-extended-description-mixed.mp4 23.7 MB
  • 3. machine-learning-projects/02_ml-strategy/02_mismatched-training-and-dev-test-set/02_bias-and-variance-with-mismatched-data-distributions_3307269-Bias_and_Variance_with_mismatched_data_distributions-extended-description-mixed.mp4 23.6 MB
  • 3. machine-learning-projects/02_ml-strategy/03_learning-from-multiple-tasks/01_transfer-learning.mp4 23.3 MB
  • 4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/01_case-studies/02_classic-networks_3307318-Classic_Networks-extended-description-mixed.mp4 23.0 MB
  • 2. deep-neural-network/03_hyperparameter-tuning-batch-normalization-and-programming-frameworks/04_introduction-to-programming-frameworks/02_tensorflow_3307248-TensorFlow-extended-description-mixed.mp4 22.8 MB
  • 1. neural-networks-deep-learning/03_shallow-neural-networks/01_shallow-neural-network/06_activation-functions.mp4 22.8 MB
  • 1. neural-networks-deep-learning/02_neural-networks-basics/01_logistic-regression-as-a-neural-network/08_derivatives-with-a-computation-graph.mp4 22.7 MB
  • 5. nlp-sequence-models/01_recurrent-neural-networks/01_recurrent-neural-networks/10_gated-recurrent-unit-gru_3307403-Gated_Recurrent_Unit__GRU_-extended-description-mixed.mp4 22.5 MB
  • 1. neural-networks-deep-learning/04_deep-neural-networks/01_deep-neural-network/06_forward-and-backward-propagation.mp4 22.4 MB
  • 1. neural-networks-deep-learning/03_shallow-neural-networks/01_shallow-neural-network/10_backpropagation-intuition-optional_3287057-Backpropagation_intuition__optional_-extended-description-mixed.mp4 22.2 MB
  • 5. nlp-sequence-models/01_recurrent-neural-networks/01_recurrent-neural-networks/12_long-short-term-memory-lstm.mp4 21.8 MB
  • 2. deep-neural-network/03_hyperparameter-tuning-batch-normalization-and-programming-frameworks/02_batch-normalization/03_fitting-batch-norm-into-a-neural-network.mp4 21.7 MB
  • 5. nlp-sequence-models/03_sequence-models-attention-mechanism/01_various-sequence-to-sequence-architectures/06_bleu-score-optional_3307397-Bleu_Score__optional_-extended-description-mixed.mp4 21.6 MB
  • 3. machine-learning-projects/01_ml-strategy/01_introduction-to-ml-strategy/02_orthogonalization.mp4 21.2 MB
  • 5. nlp-sequence-models/01_recurrent-neural-networks/01_recurrent-neural-networks/03_recurrent-neural-network-model_3307411-Recurrent_Neural_Network_Model-extended-description-mixed.mp4 21.1 MB
  • 3. machine-learning-projects/01_ml-strategy/02_setting-up-your-goal/05_when-to-change-dev-test-sets-and-metrics.mp4 21.0 MB
  • 5. nlp-sequence-models/02_natural-language-processing-word-embeddings/02_learning-word-embeddings-word2vec-glove/02_word2vec.mp4 20.4 MB
  • 4. convolutional-neural-networks/03_object-detection/01_detection-algorithms/01_object-localization.mp4 20.3 MB
  • 2. deep-neural-network/02_optimization-algorithms/01_optimization-algorithms/01_mini-batch-gradient-descent.mp4 20.2 MB
  • 4. convolutional-neural-networks/04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/06_style-cost-function.mp4 20.2 MB
  • 5. nlp-sequence-models/01_recurrent-neural-networks/01_recurrent-neural-networks/06_language-model-and-sequence-generation.mp4 20.1 MB
  • 4. convolutional-neural-networks/01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/07_one-layer-of-a-convolutional-network_3307324-One_Layer_of_a_Convolutional_Network-extended-description-mixed.mp4 20.1 MB
  • 3. machine-learning-projects/02_ml-strategy/04_end-to-end-deep-learning/01_what-is-end-to-end-deep-learning.mp4 20.0 MB
  • 4. convolutional-neural-networks/01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/12_cnn-example.mp4 19.9 MB
  • 3. machine-learning-projects/02_ml-strategy/01_error-analysis/01_carrying-out-error-analysis.mp4 19.9 MB
  • 3. machine-learning-projects/02_ml-strategy/02_mismatched-training-and-dev-test-set/01_training-and-testing-on-different-distributions.mp4 19.8 MB
  • 3. machine-learning-projects/01_ml-strategy/03_comparing-to-human-level-performance/03_understanding-human-level-performance.mp4 19.8 MB
  • 4. convolutional-neural-networks/03_object-detection/01_detection-algorithms/09_anchor-boxes.mp4 19.5 MB
  • 4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/02_practical-advice-for-using-convnets/04_state-of-computer-vision.mp4 19.4 MB
  • 1. neural-networks-deep-learning/01_introduction-to-deep-learning/02_introduction-to-deep-learning/03_why-is-deep-learning-taking-off.mp4 19.4 MB
  • 5. nlp-sequence-models/03_sequence-models-attention-mechanism/01_various-sequence-to-sequence-architectures/09_attention-model.mp4 19.2 MB
  • 3. machine-learning-projects/02_ml-strategy/01_error-analysis/02_cleaning-up-incorrectly-labeled-data_3307272-Cleaning_up_incorrectly_labeled_data-extended-description-mixed.mp4 19.2 MB
  • 5. nlp-sequence-models/02_natural-language-processing-word-embeddings/01_introduction-to-word-embeddings/03_properties-of-word-embeddings.mp4 19.1 MB
  • 3. machine-learning-projects/02_ml-strategy/03_learning-from-multiple-tasks/02_multi-task-learning_3307273-Multi-task_learning-extended-description-mixed.mp4 19.0 MB
  • 3. machine-learning-projects/02_ml-strategy/02_mismatched-training-and-dev-test-set/03_addressing-data-mismatch.mp4 18.8 MB
  • 5. nlp-sequence-models/03_sequence-models-attention-mechanism/01_various-sequence-to-sequence-architectures/03_beam-search.mp4 18.8 MB
  • 2. deep-neural-network/02_optimization-algorithms/01_optimization-algorithms/02_understanding-mini-batch-gradient-descent.mp4 18.6 MB
  • 4. convolutional-neural-networks/03_object-detection/01_detection-algorithms/05_convolutional-implementation-of-sliding-windows.mp4 18.5 MB
  • 1. neural-networks-deep-learning/04_deep-neural-networks/01_deep-neural-network/04_why-deep-representations.mp4 18.4 MB
  • 3. machine-learning-projects/02_ml-strategy/04_end-to-end-deep-learning/02_whether-to-use-end-to-end-deep-learning.mp4 18.4 MB
  • 2. deep-neural-network/03_hyperparameter-tuning-batch-normalization-and-programming-frameworks/03_multi-class-classification/02_softmax-regression.mp4 18.4 MB
  • 1. neural-networks-deep-learning/02_neural-networks-basics/01_logistic-regression-as-a-neural-network/08_derivatives-with-a-computation-graph_3307164-Derivatives_with_a_Computation_Graph-extended-description-mixed.mp4 18.2 MB
  • 1. neural-networks-deep-learning/04_deep-neural-networks/01_deep-neural-network/03_getting-your-matrix-dimensions-right.mp4 18.2 MB
  • 5. nlp-sequence-models/02_natural-language-processing-word-embeddings/02_learning-word-embeddings-word2vec-glove/01_learning-word-embeddings.mp4 18.2 MB
  • 5. nlp-sequence-models/02_natural-language-processing-word-embeddings/02_learning-word-embeddings-word2vec-glove/03_negative-sampling.mp4 17.9 MB
  • 1. neural-networks-deep-learning/02_neural-networks-basics/01_logistic-regression-as-a-neural-network/04_gradient-descent.mp4 17.9 MB
  • 5. nlp-sequence-models/04_transformer-network/01_transformers/03_multi-head-attention.mp4 17.8 MB
  • 2. deep-neural-network/01_practical-aspects-of-deep-learning/01_setting-up-your-machine-learning-application/01_train-dev-test-sets.mp4 17.6 MB
  • 1. neural-networks-deep-learning/02_neural-networks-basics/01_logistic-regression-as-a-neural-network/06_more-derivative-examples.mp4 17.6 MB
  • 5. nlp-sequence-models/02_natural-language-processing-word-embeddings/03_applications-using-word-embeddings/02_debiasing-word-embeddings.mp4 17.5 MB
  • 4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/02_practical-advice-for-using-convnets/03_data-augmentation.mp4 17.3 MB
  • 1. neural-networks-deep-learning/03_shallow-neural-networks/01_shallow-neural-network/03_computing-a-neural-networks-output.mp4 17.1 MB
  • 5. nlp-sequence-models/03_sequence-models-attention-mechanism/01_various-sequence-to-sequence-architectures/04_refinements-to-beam-search.mp4 17.1 MB
  • 1. neural-networks-deep-learning/02_neural-networks-basics/02_python-and-vectorization/05_broadcasting-in-python.mp4 17.0 MB
  • 1. neural-networks-deep-learning/03_shallow-neural-networks/01_shallow-neural-network/09_gradient-descent-for-neural-networks.mp4 16.8 MB
  • 4. convolutional-neural-networks/01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/02_edge-detection-example.mp4 16.7 MB
  • 4. convolutional-neural-networks/01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/14_why-convolutions.mp4 16.7 MB
  • 2. deep-neural-network/03_hyperparameter-tuning-batch-normalization-and-programming-frameworks/02_batch-normalization/03_fitting-batch-norm-into-a-neural-network_3307230-Fitting_Batch_Norm_into_a_neural_network-extended-description-mixed.mp4 16.6 MB
  • 4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/01_case-studies/10_mobilenet-architecture.mp4 16.6 MB
  • 4. convolutional-neural-networks/04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/06_style-cost-function_3307365-Style_Cost_Function-extended-description-mixed.mp4 16.6 MB
  • 2. deep-neural-network/03_hyperparameter-tuning-batch-normalization-and-programming-frameworks/01_hyperparameter-tuning/02_using-an-appropriate-scale-to-pick-hyperparameters.mp4 16.6 MB
  • 5. nlp-sequence-models/01_recurrent-neural-networks/01_recurrent-neural-networks/13_bidirectional-rnn.mp4 16.5 MB
  • 4. convolutional-neural-networks/03_object-detection/01_detection-algorithms/01_object-localization_3307358-Object_Localization-extended-description-mixed.mp4 16.5 MB
  • 4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/01_case-studies/07_inception-network-motivation.mp4 16.5 MB
  • 5. nlp-sequence-models/03_sequence-models-attention-mechanism/01_various-sequence-to-sequence-architectures/09_attention-model_3307392-Attention_Model-extended-description-mixed.mp4 16.3 MB
  • 5. nlp-sequence-models/02_natural-language-processing-word-embeddings/02_learning-word-embeddings-word2vec-glove/05_glove-word-vectors.mp4 16.3 MB
  • 2. deep-neural-network/02_optimization-algorithms/01_optimization-algorithms/04_understanding-exponentially-weighted-averages.mp4 16.3 MB
  • 2. deep-neural-network/03_hyperparameter-tuning-batch-normalization-and-programming-frameworks/02_batch-normalization/04_why-does-batch-norm-work_3307258-Why_does_Batch_Norm_work_-extended-description-mixed.mp4 16.3 MB
  • 1. neural-networks-deep-learning/02_neural-networks-basics/02_python-and-vectorization/04_vectorizing-logistic-regressions-gradient-output.mp4 16.3 MB
  • 4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/02_practical-advice-for-using-convnets/02_transfer-learning.mp4 16.2 MB
  • 4. convolutional-neural-networks/01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/12_cnn-example_3307337-CNN_Example-extended-description-mixed.mp4 16.1 MB
  • 5. nlp-sequence-models/02_natural-language-processing-word-embeddings/01_introduction-to-word-embeddings/01_word-representation.mp4 16.0 MB
  • 5. nlp-sequence-models/02_natural-language-processing-word-embeddings/02_learning-word-embeddings-word2vec-glove/02_word2vec_3307419-Word2Vec-extended-description-mixed.mp4 16.0 MB
  • 1. neural-networks-deep-learning/02_neural-networks-basics/01_logistic-regression-as-a-neural-network/01_binary-classification.mp4 16.0 MB
  • 5. nlp-sequence-models/01_recurrent-neural-networks/01_recurrent-neural-networks/07_sampling-novel-sequences.mp4 15.9 MB
  • 4. convolutional-neural-networks/03_object-detection/01_detection-algorithms/13_semantic-segmentation-with-u-net.mp4 15.8 MB
  • 5. nlp-sequence-models/02_natural-language-processing-word-embeddings/01_introduction-to-word-embeddings/02_using-word-embeddings.mp4 15.8 MB
  • 2. deep-neural-network/02_optimization-algorithms/01_optimization-algorithms/06_gradient-descent-with-momentum.mp4 15.8 MB
  • 5. nlp-sequence-models/03_sequence-models-attention-mechanism/01_various-sequence-to-sequence-architectures/03_beam-search_3307395-Beam_Search-extended-description-mixed.mp4 15.7 MB
  • 3. machine-learning-projects/02_ml-strategy/03_learning-from-multiple-tasks/01_transfer-learning_3307281-Transfer_learning-extended-description-mixed.mp4 15.7 MB
  • 1. neural-networks-deep-learning/02_neural-networks-basics/01_logistic-regression-as-a-neural-network/03_logistic-regression-cost-function.mp4 15.6 MB
  • 5. nlp-sequence-models/01_recurrent-neural-networks/01_recurrent-neural-networks/05_different-types-of-rnns.mp4 15.6 MB
  • 4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/01_case-studies/04_why-resnets-work.mp4 15.6 MB
  • 4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/02_practical-advice-for-using-convnets/04_state-of-computer-vision_3307328-State_of_Computer_Vision-extended-description-mixed.mp4 15.5 MB
  • 4. convolutional-neural-networks/01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/06_convolutions-over-volume.mp4 15.5 MB
  • 5. nlp-sequence-models/03_sequence-models-attention-mechanism/01_various-sequence-to-sequence-architectures/07_attention-model-intuition.mp4 15.5 MB
  • 4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/01_case-studies/08_inception-network.mp4 15.5 MB
  • 4. convolutional-neural-networks/04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/02_what-are-deep-convnets-learning.mp4 15.4 MB
  • 2. deep-neural-network/03_hyperparameter-tuning-batch-normalization-and-programming-frameworks/02_batch-normalization/02_normalizing-activations-in-a-network.mp4 15.4 MB
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