Deep Learning Specialization | A13500C6031FDC57E81962F06143DDAEC63DCFA1

Deep Learning Specialization

Name	Deep Learning Specialization	DOWNLOAD Copy Link
Total Size	2.8 GB
Total Files	927
Hash	A13500C6031FDC57E81962F06143DDAEC63DCFA1

/.../03_programming-assignments/
01_residual-networks_instructions.html	1.1 KB
/.../02_programming-assignments/
01_car-detection-with-yolov2_instructions.html	1.1 KB
/.../03_programming-assignments/
02_face-recognition-for-the-happy-house_instructions.html	1.1 KB
01_art-generation-with-neural-style-transfer_instructions.html	1.1 KB
/.../02_programming-assignments/
02_convolutional-model-application_instructions.html	1.1 KB
01_convolutional-model-step-by-step_instructions.html	1.1 KB
/.../01_course-notation-sheet/
01__resources.html	1.1 KB
01__deep-learning-notation.pdf	261.8 KB
/.../04_programming-assignments/
03_gradient-checking_instructions.html	1.2 KB
02_regularization_instructions.html	1.2 KB
01_initialization_instructions.html	1.2 KB
/.../03_programming-assignments/
04_logistic-regression-with-a-neural-network-mindset_instructions.html	1.2 KB
03_python-basics-with-numpy-optional_instructions.html	1.2 KB
01_deep-learning-honor-code_instructions.html	1.8 KB
02_programming-assignment-faq_instructions.html	2.1 MB
/.../02_programming-assignment/
01_planar-data-classification-with-a-hidden-layer_instructions.html	1.2 KB
/.../02_programming-assignments/
02_deep-neural-network-application_instructions.html	1.2 KB
01_building-your-deep-neural-network-step-by-step_instructions.html	1.2 KB
/.../02_programming-assignment/
01_optimization_instructions.html	1.2 KB
/.../05_programming-assignment/
01_tensorflow_instructions.html	1.2 KB
/.../01_course-acknowledgments/
01__resources.html	1.6 KB
/.../02_introduction-to-deep-learning/
06_course-resources.zh-TW.txt	1.7 KB
06_course-resources.zh-CN.txt	1.8 KB
06_course-resources.en.txt	2.0 KB
04_about-this-course.zh-TW.txt	2.1 KB
06_course-resources.pt-BR.txt	2.2 KB
04_about-this-course.zh-CN.txt	2.3 KB
04_about-this-course.tr.txt	2.7 KB
06_course-resources.ja.txt	2.7 KB
04_about-this-course.en.txt	2.7 KB
04_about-this-course.pt-BR.txt	3.0 KB
04_about-this-course.ja.txt	3.3 KB
06_course-resources.zh-TW.srt	3.4 KB
06_course-resources.zh-CN.srt	3.6 KB
06_course-resources.en.srt	3.7 KB
04_about-this-course.zh-TW.srt	3.8 KB
06_course-resources.pt-BR.srt	4.0 KB
04_about-this-course.zh-CN.srt	4.0 KB
04_about-this-course.tr.srt	4.4 KB
06_course-resources.ja.srt	4.5 KB
04_about-this-course.en.srt	4.5 KB
04_about-this-course.pt-BR.srt	4.7 KB
04_about-this-course.ja.srt	5.0 KB
01_what-is-a-neural-network.zh-TW.txt	5.1 KB
07_how-to-use-discussion-forums_instructions.html	5.5 KB
01_what-is-a-neural-network.zh-CN.txt	5.9 KB
02_supervised-learning-with-neural-networks.zh-TW.txt	6.0 KB
01_what-is-a-neural-network.en.txt	6.4 KB
05_frequently-asked-questions_instructions.html	6.7 KB
01_what-is-a-neural-network.ja.txt	6.9 KB
02_supervised-learning-with-neural-networks.zh-CN.txt	7.2 KB
03_why-is-deep-learning-taking-off.zh-TW.txt	7.5 KB
02_supervised-learning-with-neural-networks.en.txt	7.8 KB
03_why-is-deep-learning-taking-off.zh-CN.txt	8.1 KB
01_what-is-a-neural-network.zh-TW.srt	8.9 KB
02_supervised-learning-with-neural-networks.ja.txt	9.1 KB
03_why-is-deep-learning-taking-off.en.txt	9.5 KB
01_what-is-a-neural-network.zh-CN.srt	9.6 KB
01_what-is-a-neural-network.en.srt	10.1 KB
02_supervised-learning-with-neural-networks.zh-TW.srt	10.4 KB
01_what-is-a-neural-network.ja.srt	10.6 KB
03_why-is-deep-learning-taking-off.pt-BR.txt	10.8 KB
02_supervised-learning-with-neural-networks.zh-CN.srt	11.5 KB
03_why-is-deep-learning-taking-off.ja.txt	12.1 KB
02_supervised-learning-with-neural-networks.en.srt	12.2 KB
03_why-is-deep-learning-taking-off.zh-TW.srt	13.5 KB
02_supervised-learning-with-neural-networks.ja.srt	13.5 KB
03_why-is-deep-learning-taking-off.zh-CN.srt	14.1 KB
03_why-is-deep-learning-taking-off.pt-BR.srt	16.8 KB
03_why-is-deep-learning-taking-off.ja.srt	18.1 KB
03_why-is-deep-learning-taking-off.en.srt	18.3 KB
04_about-this-course_C1W1L05.pptx	93.6 KB
03_why-is-deep-learning-taking-off_C1W1L04.pptx	243.5 KB
01_what-is-a-neural-network_What_is_Neural_Network.pdf	419.3 KB
03_why-is-deep-learning-taking-off_Why_is_Deep_Learning_Taking_Off.pdf	434.7 KB
02_supervised-learning-with-neural-networks_Supervised_Learning_for_Neural_Network.pdf	452.8 KB
06_course-resources.mp4	2.3 MB
04_about-this-course.mp4	3.3 MB
02_supervised-learning-with-neural-networks_C1W1L03.pptx	6.8 MB
01_what-is-a-neural-network.mp4	8.9 MB
02_supervised-learning-with-neural-networks.mp4	11.2 MB
03_why-is-deep-learning-taking-off.mp4	13.9 MB
/.../02_neural-style-transfer/
01_what-is-neural-style-transfer.en.txt	1.7 KB
01_what-is-neural-style-transfer.en.srt	2.6 KB
04_content-cost-function.en.txt	2.9 KB
03_cost-function.en.txt	3.4 KB
04_content-cost-function.en.srt	4.3 KB
03_cost-function.en.srt	5.0 KB
02_what-are-deep-convnets-learning.en.txt	7.1 KB
06_1d-and-3d-generalizations.en.txt	7.4 KB
05_style-cost-function.en.txt	10.1 KB
02_what-are-deep-convnets-learning.en.srt	10.4 KB
06_1d-and-3d-generalizations.en.srt	10.9 KB
05_style-cost-function.en.srt	16.3 KB
04_content-cost-function_C4W4L09_ContentCostFunction.pptx	181.7 KB
05_style-cost-function_C4W4L10_StyleCostFunction.pptx	639.7 KB
06_1d-and-3d-generalizations_C4W4L11_1D3DGeneralizations.pptx	3.1 MB
01_what-is-neural-style-transfer.mp4	3.1 MB
04_content-cost-function.mp4	4.9 MB
03_cost-function.mp4	5.5 MB
02_what-are-deep-convnets-learning.mp4	11.8 MB
06_1d-and-3d-generalizations.mp4	11.9 MB
05_style-cost-function.mp4	17.2 MB
02_what-are-deep-convnets-learning_C4W4L07_WhatAreDeepCNsLearning.pptx	22.2 MB
03_cost-function_C4W4L08_CostFunction.pptx	35.9 MB
01_what-is-neural-style-transfer_C4W4L06_WhatIsNeuralTransferStyle.pptx	40.0 MB
/.../01_logistic-regression-as-a-neural-network/
07_computation-graph.zh-TW.txt	2.1 KB
07_computation-graph.ja.txt	2.6 KB
07_computation-graph.en.txt	2.6 KB
09_logistic-regression-gradient-descent.zh-CN.txt	3.4 KB
02_logistic-regression.zh-TW.txt	3.5 KB
02_logistic-regression.zh-CN.txt	3.9 KB
07_computation-graph.zh-TW.srt	3.9 KB
09_logistic-regression-gradient-descent.zh-TW.txt	4.1 KB
07_computation-graph.ja.srt	4.4 KB
07_computation-graph.en.srt	4.4 KB
02_logistic-regression.en.txt	4.6 KB
05_derivatives.zh-TW.txt	4.6 KB
02_logistic-regression.pt-BR.txt	4.8 KB
10_gradient-descent-on-m-examples.zh-TW.txt	5.3 KB
10_gradient-descent-on-m-examples.zh-CN.txt	5.3 KB
09_logistic-regression-gradient-descent.en.txt	5.4 KB
02_logistic-regression.ja.txt	5.4 KB
01_binary-classification.zh-TW.txt	5.5 KB
01_binary-classification.zh-CN.txt	5.5 KB
03_logistic-regression-cost-function.zh-TW.txt	5.6 KB
09_logistic-regression-gradient-descent.ja.txt	5.6 KB
05_derivatives.ja.txt	6.1 KB
06_more-derivative-examples.zh-TW.txt	6.2 KB
05_derivatives.en.txt	6.5 KB
10_gradient-descent-on-m-examples.en.txt	6.6 KB
02_logistic-regression.zh-TW.srt	6.7 KB
05_derivatives.pt-BR.txt	6.8 KB
01_binary-classification.en.txt	6.8 KB
03_logistic-regression-cost-function.en.txt	7.0 KB
02_logistic-regression.zh-CN.srt	7.0 KB
09_logistic-regression-gradient-descent.zh-CN.srt	7.1 KB
01_binary-classification.ja.txt	7.5 KB
08_derivatives-with-a-computation-graph.zh-CN.txt	7.6 KB
06_more-derivative-examples.ja.txt	7.6 KB
04_gradient-descent.zh-TW.txt	7.6 KB
02_logistic-regression.en.srt	7.7 KB
06_more-derivative-examples.en.txt	7.8 KB
08_derivatives-with-a-computation-graph.zh-TW.txt	7.8 KB
01_binary-classification.pt-BR.txt	7.8 KB
09_logistic-regression-gradient-descent.zh-TW.srt	7.9 KB
02_logistic-regression.pt-BR.srt	8.0 KB
04_gradient-descent.zh-CN.txt	8.2 KB
05_derivatives.zh-TW.srt	8.4 KB
02_logistic-regression.ja.srt	8.6 KB
09_logistic-regression-gradient-descent.en.srt	9.2 KB
09_logistic-regression-gradient-descent.ja.srt	9.4 KB
03_logistic-regression-cost-function.ja.txt	9.4 KB
01_binary-classification.zh-TW.srt	9.5 KB
01_binary-classification.zh-CN.srt	9.5 KB
03_logistic-regression-cost-function.zh-TW.srt	9.8 KB
05_derivatives.ja.srt	9.9 KB
04_gradient-descent.en.txt	10.0 KB
08_derivatives-with-a-computation-graph.en.txt	10.0 KB
08_derivatives-with-a-computation-graph.pt-BR.txt	10.5 KB
05_derivatives.pt-BR.srt	10.6 KB
01_binary-classification.en.srt	10.8 KB
04_gradient-descent.ja.txt	11.2 KB
03_logistic-regression-cost-function.en.srt	11.3 KB
10_gradient-descent-on-m-examples.zh-TW.srt	11.3 KB
10_gradient-descent-on-m-examples.zh-CN.srt	11.4 KB
01_binary-classification.ja.srt	11.5 KB
06_more-derivative-examples.zh-TW.srt	11.6 KB
01_binary-classification.pt-BR.srt	11.8 KB
05_derivatives.en.srt	12.3 KB
10_gradient-descent-on-m-examples.en.srt	12.6 KB
06_more-derivative-examples.ja.srt	13.1 KB
06_more-derivative-examples.en.srt	13.2 KB
04_gradient-descent.zh-TW.srt	13.4 KB
03_logistic-regression-cost-function.ja.srt	13.7 KB
04_gradient-descent.zh-CN.srt	13.9 KB
08_derivatives-with-a-computation-graph.zh-TW.srt	14.5 KB
08_derivatives-with-a-computation-graph.zh-CN.srt	15.3 KB
04_gradient-descent.en.srt	15.7 KB
08_derivatives-with-a-computation-graph.en.srt	16.7 KB
04_gradient-descent.ja.srt	16.9 KB
08_derivatives-with-a-computation-graph.pt-BR.srt	17.2 KB
01_binary-classification_untitled-2.pdf	261.8 KB
02_logistic-regression_C1W2L02.pptx	365.4 KB
07_computation-graph_C1W2L05.pptx	378.6 KB
05_derivatives_C1W2L04.pptx	384.8 KB
09_logistic-regression-gradient-descent_C1W2L06.pptx	449.3 KB
03_logistic-regression-cost-function_Logistic_Regression_Cost_Function.pdf	483.7 KB
02_logistic-regression_Logistic_Regression.pdf	534.7 KB
01_binary-classification_Binary_Classification.pdf	665.2 KB
04_gradient-descent_C1W2L03.pptx	913.7 KB
07_computation-graph.mp4	4.6 MB
01_binary-classification_C1W2L01.pptx	4.7 MB
02_logistic-regression.mp4	7.6 MB
09_logistic-regression-gradient-descent.mp4	8.9 MB
05_derivatives.mp4	10.0 MB
10_gradient-descent-on-m-examples.mp4	10.5 MB
03_logistic-regression-cost-function.mp4	11.1 MB
01_binary-classification.mp4	11.5 MB
06_more-derivative-examples.mp4	13.8 MB
04_gradient-descent.mp4	14.6 MB
08_derivatives-with-a-computation-graph.mp4	19.0 MB
/.../02_course-acknowledgments/
01__resources.html	2.3 KB
/.../01_deep-neural-network/
08_what-does-this-have-to-do-with-the-brain.zh-TW.txt	2.5 KB
08_what-does-this-have-to-do-with-the-brain.en.txt	3.0 KB
01_deep-l-layer-neural-network.zh-TW.txt	3.7 KB
08_what-does-this-have-to-do-with-the-brain.ja.txt	3.9 KB
02_forward-propagation-in-a-deep-network.zh-TW.txt	4.0 KB
01_deep-l-layer-neural-network.zh-CN.txt	4.1 KB
08_what-does-this-have-to-do-with-the-brain.zh-TW.srt	4.2 KB
05_building-blocks-of-deep-neural-networks.zh-TW.txt	4.6 KB
02_forward-propagation-in-a-deep-network.zh-CN.txt	4.7 KB
01_deep-l-layer-neural-network.en.txt	4.8 KB
01_deep-l-layer-neural-network.pt-BR.txt	4.9 KB
03_getting-your-matrix-dimensions-right.zh-TW.txt	5.3 KB
02_forward-propagation-in-a-deep-network.en.txt	5.3 KB
01_deep-l-layer-neural-network.ja.txt	5.3 KB
07_parameters-vs-hyperparameters.zh-TW.txt	5.4 KB
08_what-does-this-have-to-do-with-the-brain.ja.srt	5.7 KB
03_getting-your-matrix-dimensions-right.zh-CN.txt	5.7 KB
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05_building-blocks-of-deep-neural-networks.en.txt	5.8 KB
02_forward-propagation-in-a-deep-network.ja.txt	5.9 KB
06_forward-and-backward-propagation.zh-TW.txt	6.3 KB
01_deep-l-layer-neural-network.zh-TW.srt	6.5 KB
01_deep-l-layer-neural-network.zh-CN.srt	6.9 KB
07_parameters-vs-hyperparameters.en.txt	7.0 KB
03_getting-your-matrix-dimensions-right.en.txt	7.1 KB
04_why-deep-representations.zh-TW.txt	7.5 KB
01_deep-l-layer-neural-network.en.srt	7.6 KB
01_deep-l-layer-neural-network.pt-BR.srt	7.7 KB
06_forward-and-backward-propagation.en.txt	8.0 KB
01_deep-l-layer-neural-network.ja.srt	8.1 KB
04_why-deep-representations.zh-CN.txt	8.5 KB
05_building-blocks-of-deep-neural-networks.zh-TW.srt	8.7 KB
02_forward-propagation-in-a-deep-network.zh-TW.srt	8.8 KB
04_why-deep-representations.en.txt	9.5 KB
02_forward-propagation-in-a-deep-network.zh-CN.srt	9.6 KB
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02_forward-propagation-in-a-deep-network.en.srt	10.1 KB
03_getting-your-matrix-dimensions-right.zh-CN.srt	10.3 KB
02_forward-propagation-in-a-deep-network.ja.srt	10.7 KB
04_why-deep-representations.ja.txt	10.9 KB
05_building-blocks-of-deep-neural-networks.en.srt	11.2 KB
03_getting-your-matrix-dimensions-right.en.srt	11.7 KB
07_parameters-vs-hyperparameters.zh-TW.srt	11.7 KB
06_forward-and-backward-propagation.zh-TW.srt	12.1 KB
04_why-deep-representations.zh-TW.srt	12.9 KB
07_parameters-vs-hyperparameters.en.srt	13.3 KB
04_why-deep-representations.zh-CN.srt	13.9 KB
04_why-deep-representations.en.srt	14.9 KB
06_forward-and-backward-propagation.en.srt	15.3 KB
04_why-deep-representations.ja.srt	16.3 KB
07_parameters-vs-hyperparameters_C1W4L05.pptx	257.2 KB
03_getting-your-matrix-dimensions-right_C1W4L02.pptx	338.4 KB
06_forward-and-backward-propagation_C1W4L06_ForwardBackProp_annotated.pdf	517.8 KB
05_building-blocks-of-deep-neural-networks_C1W4L04.pptx	648.9 KB
04_why-deep-representations_C1W4L03.pptx	1.0 MB
08_what-does-this-have-to-do-with-the-brain_C1W4L06.pptx	3.5 MB
08_what-does-this-have-to-do-with-the-brain.mp4	4.6 MB
01_deep-l-layer-neural-network.mp4	8.2 MB
07_parameters-vs-hyperparameters.mp4	9.1 MB
02_forward-propagation-in-a-deep-network.mp4	10.4 MB
05_building-blocks-of-deep-neural-networks.mp4	11.3 MB
04_why-deep-representations.mp4	14.4 MB
06_forward-and-backward-propagation.mp4	14.7 MB
03_getting-your-matrix-dimensions-right.mp4	15.1 MB
/.../01_shallow-neural-network/
01_neural-networks-overview.zh-TW.txt	2.7 KB
07_why-do-you-need-non-linear-activation-functions.zh-TW.txt	3.1 KB
07_why-do-you-need-non-linear-activation-functions.zh-CN.txt	3.3 KB
01_neural-networks-overview.en.txt	3.5 KB
02_neural-network-representation.zh-CN.txt	3.7 KB
02_neural-network-representation.zh-TW.txt	3.9 KB
07_why-do-you-need-non-linear-activation-functions.en.txt	4.2 KB
05_explanation-for-vectorized-implementation.zh-TW.txt	4.2 KB
07_why-do-you-need-non-linear-activation-functions.ja.txt	4.2 KB
08_derivatives-of-activation-functions.zh-TW.txt	4.6 KB
04_vectorizing-across-multiple-examples.zh-TW.txt	4.7 KB
11_random-initialization.zh-TW.txt	5.1 KB
02_neural-network-representation.en.txt	5.2 KB
09_gradient-descent-for-neural-networks.zh-CN.txt	5.3 KB
02_neural-network-representation.ja.txt	5.4 KB
02_neural-network-representation.pt-BR.txt	5.4 KB
05_explanation-for-vectorized-implementation.en.txt	5.5 KB
09_gradient-descent-for-neural-networks.zh-TW.txt	5.6 KB
07_why-do-you-need-non-linear-activation-functions.zh-TW.srt	5.9 KB
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07_why-do-you-need-non-linear-activation-functions.zh-CN.srt	6.0 KB
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11_random-initialization.zh-CN.txt	6.2 KB
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11_random-initialization.en.txt	6.5 KB
11_random-initialization.es.txt	6.5 KB
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07_why-do-you-need-non-linear-activation-functions.ja.srt	6.9 KB
06_activation-functions.zh-TW.txt	7.1 KB
09_gradient-descent-for-neural-networks.en.txt	7.2 KB
11_random-initialization.ja.txt	7.2 KB
03_computing-a-neural-networks-output.zh-TW.txt	7.2 KB
03_computing-a-neural-networks-output.zh-CN.txt	7.4 KB
05_explanation-for-vectorized-implementation.zh-TW.srt	7.6 KB
07_why-do-you-need-non-linear-activation-functions.en.srt	7.9 KB
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04_vectorizing-across-multiple-examples.zh-TW.srt	8.6 KB
03_computing-a-neural-networks-output.en.txt	8.8 KB
10_backpropagation-intuition-optional.zh-CN.txt	8.8 KB
05_explanation-for-vectorized-implementation.en.srt	8.9 KB
06_activation-functions.en.txt	9.1 KB
11_random-initialization.zh-TW.srt	9.2 KB
03_computing-a-neural-networks-output.ja.txt	9.5 KB
03_computing-a-neural-networks-output.pt-BR.txt	9.8 KB
08_derivatives-of-activation-functions.ja.srt	9.9 KB
04_vectorizing-across-multiple-examples.en.srt	10.3 KB
11_random-initialization.zh-CN.srt	10.4 KB
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10_backpropagation-intuition-optional.en.txt	10.8 KB
04_vectorizing-across-multiple-examples.ja.srt	10.8 KB
10_backpropagation-intuition-optional.ja.txt	11.3 KB
11_random-initialization.ja.srt	11.3 KB
08_derivatives-of-activation-functions.en.srt	11.6 KB
09_gradient-descent-for-neural-networks.zh-CN.srt	11.9 KB
03_computing-a-neural-networks-output.zh-TW.srt	12.0 KB
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09_gradient-descent-for-neural-networks.zh-TW.srt	12.3 KB
09_gradient-descent-for-neural-networks.en.srt	13.8 KB
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10_backpropagation-intuition-optional.zh-TW.srt	15.7 KB
10_backpropagation-intuition-optional.zh-CN.srt	16.2 KB
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04_size-of-the-dev-and-test-sets_Size_of_the_development_and_test_sets.pdf	371.5 KB
02_satisficing-and-optimizing-metric_Satisficing_and_optimizing_metric.pdf	462.9 KB
05_when-to-change-dev-test-sets-and-metrics_When_to_change_develpment_test_sets_and_metrics.pdf	468.7 KB
01_single-number-evaluation-metric_Single_number_evaluation_metric-2.pdf	475.2 KB
03_train-dev-test-distributions_C3W1L05.pptx	915.8 KB
04_size-of-the-dev-and-test-sets.mp4	8.0 MB
03_train-dev-test-distributions.mp4	8.8 MB
02_satisficing-and-optimizing-metric.mp4	8.9 MB
01_single-number-evaluation-metric.mp4	10.2 MB
05_when-to-change-dev-test-sets-and-metrics_C3W1L07.pptx	14.3 MB
05_when-to-change-dev-test-sets-and-metrics.mp4	15.4 MB
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02_fitting-batch-norm-into-a-neural-network.en.txt	9.7 KB
03_why-does-batch-norm-work.en.txt	10.0 KB
01_normalizing-activations-in-a-network.en.srt	11.4 KB
02_fitting-batch-norm-into-a-neural-network.en.srt	16.0 KB
03_why-does-batch-norm-work.en.srt	16.8 KB
04_batch-norm-at-test-time_C2W3L07.pptx	210.5 KB
01_normalizing-activations-in-a-network_C2W3L04.pptx	281.1 KB
02_fitting-batch-norm-into-a-neural-network_C2W3L05.pptx	397.4 KB
04_batch-norm-at-test-time.mp4	8.0 MB
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03_why-does-batch-norm-work.mp4	17.3 MB
02_fitting-batch-norm-into-a-neural-network.mp4	17.4 MB
03_why-does-batch-norm-work_C2W3L06.pptx	66.2 MB
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03_basic-recipe-for-machine-learning.zh-TW.txt	5.1 KB
03_basic-recipe-for-machine-learning.zh-CN.txt	5.7 KB
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02_bias-variance.en.txt	8.3 KB
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01_train-dev-test-sets.en.txt	11.3 KB
02_bias-variance.en.srt	14.0 KB
01_train-dev-test-sets.en.srt	17.6 KB
03_basic-recipe-for-machine-learning_C2W1L03_BasicRecipeML_annotated.pdf	228.8 KB
01_train-dev-test-sets_C2W1L01.pptx	287.7 KB
03_basic-recipe-for-machine-learning.mp4	8.4 MB
02_bias-variance_C2W1L02.pptx	11.0 MB
02_bias-variance.mp4	11.3 MB
01_train-dev-test-sets.mp4	15.1 MB
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03_build-your-first-system-quickly-then-iterate.en.txt	5.4 KB
03_build-your-first-system-quickly-then-iterate.en.srt	8.6 KB
01_carrying-out-error-analysis.en.txt	9.6 KB
02_cleaning-up-incorrectly-labeled-data.en.txt	12.0 KB
01_carrying-out-error-analysis.en.srt	15.5 KB
02_cleaning-up-incorrectly-labeled-data.en.srt	19.6 KB
03_build-your-first-system-quickly-then-iterate_C3W2L03.pptx	118.8 KB
03_build-your-first-system-quickly-then-iterate_Build_System_Quickly.pdf	336.2 KB
01_carrying-out-error-analysis_C3W2L01.pptx	1.1 MB
03_build-your-first-system-quickly-then-iterate.mp4	8.7 MB
01_carrying-out-error-analysis.mp4	14.6 MB
02_cleaning-up-incorrectly-labeled-data.mp4	19.2 MB
02_cleaning-up-incorrectly-labeled-data_C3W2L02.pptx	34.0 MB
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01_computer-vision.en.txt	5.6 KB
08_simple-convolutional-network-example.en.txt	6.2 KB
03_more-edge-detection.en.txt	6.8 KB
05_strided-convolutions.en.txt	6.9 KB
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06_convolutions-over-volume.en.txt	8.3 KB
09_pooling-layers.en.txt	8.5 KB
02_edge-detection-example.en.txt	8.8 KB
01_computer-vision.en.srt	9.1 KB
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08_simple-convolutional-network-example.en.srt	10.1 KB
03_more-edge-detection.en.srt	10.7 KB
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07_one-layer-of-a-convolutional-network.en.txt	12.1 KB
11_why-convolutions.en.srt	12.7 KB
04_padding.en.srt	12.9 KB
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06_convolutions-over-volume.en.srt	13.9 KB
02_edge-detection-example.en.srt	14.2 KB
10_cnn-example.en.srt	16.2 KB
07_one-layer-of-a-convolutional-network.en.srt	19.5 KB
09_pooling-layers_C4W1L09_PoolingLayers.pptx	160.4 KB
08_simple-convolutional-network-example_C4W1L08_SimpleCNNExample.pptx	178.4 KB
10_cnn-example_C4W1L10_CNNExample.pptx	183.4 KB
03_more-edge-detection_C4W1L03_MoreEdgeDetection.pptx	194.1 KB
04_padding_C4W1L04_Padding.pptx	204.3 KB
05_strided-convolutions_C4W1L05_StridedConv.pptx	206.1 KB
06_convolutions-over-volume_C4W1L06_ConvolutionsOverVolumes.pptx	228.7 KB
11_why-convolutions_C4W1L11_WhyConvs.pptx	4.8 MB
01_computer-vision_C4W1L01_ComputerVision.pptx	6.0 MB
02_edge-detection-example_C4W1L02_EdgeDetectionExample.pptx	6.9 MB
01_computer-vision.mp4	8.0 MB
03_more-edge-detection.mp4	10.3 MB
08_simple-convolutional-network-example.mp4	10.9 MB
05_strided-convolutions.mp4	11.5 MB
04_padding.mp4	12.5 MB
09_pooling-layers.mp4	12.7 MB
11_why-convolutions.mp4	12.9 MB
06_convolutions-over-volume.mp4	13.5 MB
02_edge-detection-example.mp4	14.6 MB
10_cnn-example.mp4	16.7 MB
07_one-layer-of-a-convolutional-network.mp4	21.0 MB
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05_other-regularization-methods.zh-TW.txt	6.3 KB
01_regularization.zh-TW.txt	6.3 KB
05_other-regularization-methods.zh-CN.txt	6.5 KB
04_understanding-dropout.en.txt	6.8 KB
01_regularization.en.txt	7.8 KB
05_other-regularization-methods.en.txt	8.1 KB
03_dropout-regularization.en.txt	8.3 KB
02_why-regularization-reduces-overfitting.en.srt	10.1 KB
01_regularization.zh-CN.srt	10.6 KB
05_other-regularization-methods.zh-TW.srt	11.0 KB
04_understanding-dropout.en.srt	11.1 KB
01_regularization.zh-TW.srt	11.2 KB
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03_dropout-regularization.en.srt	14.2 KB
02_why-regularization-reduces-overfitting_C2W1L03b.pptx	233.1 KB
03_dropout-regularization_C2W1L04.pptx	341.5 KB
01_regularization_C2W1L03.pptx	446.2 KB
05_other-regularization-methods_C2W1L05.pptx	7.4 MB
02_why-regularization-reduces-overfitting.mp4	9.3 MB
04_understanding-dropout.mp4	9.4 MB
05_other-regularization-methods.mp4	10.4 MB
03_dropout-regularization.mp4	11.9 MB
01_regularization.mp4	12.5 MB
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02_using-an-appropriate-scale-to-pick-hyperparameters.en.txt	7.1 KB
03_hyperparameters-tuning-in-practice-pandas-vs-caviar.en.txt	7.1 KB
03_hyperparameters-tuning-in-practice-pandas-vs-caviar.en.srt	11.1 KB
01_tuning-process.en.srt	11.1 KB
02_using-an-appropriate-scale-to-pick-hyperparameters.en.srt	11.3 KB
01_tuning-process_C2W3L01.pptx	209.2 KB
02_using-an-appropriate-scale-to-pick-hyperparameters_C2W3L02.pptx	265.4 KB
03_hyperparameters-tuning-in-practice-pandas-vs-caviar_C2W3L03.pptx	9.0 MB
03_hyperparameters-tuning-in-practice-pandas-vs-caviar.mp4	9.2 MB
01_tuning-process.mp4	9.5 MB
02_using-an-appropriate-scale-to-pick-hyperparameters.mp4	12.2 MB
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01_softmax-regression.zh-CN.txt	6.9 KB
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01_softmax-regression.zh-TW.txt	7.7 KB
02_training-a-softmax-classifier.en.txt	8.8 KB
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02_training-a-softmax-classifier.zh-TW.srt	12.5 KB
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01_softmax-regression.zh-TW.srt	13.5 KB
02_training-a-softmax-classifier.en.srt	13.8 KB
01_softmax-regression.en.srt	15.1 KB
02_training-a-softmax-classifier_softmax2-new.pptx	92.7 KB
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01_softmax-regression.mp4	15.4 MB
01_softmax-regression_softmax-new.pptx	39.5 MB
/.../03_heroes-of-deep-learning-optional/
01_yuanqing-lin-interview.zh-CN.txt	8.9 KB
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01_yuanqing-lin-interview.mp4	28.4 MB
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02_whether-to-use-end-to-end-deep-learning.en.txt	9.1 KB
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01_what-is-end-to-end-deep-learning_What_is_end_to_end_deep_learning.pdf	338.2 KB
02_whether-to-use-end-to-end-deep-learning_Whether_to_use_end_to_end_deep_learning.pdf	366.5 KB
02_whether-to-use-end-to-end-deep-learning_C3W2L10.pptx	5.7 MB
01_what-is-end-to-end-deep-learning_C3W2L09.pptx	6.0 MB
02_whether-to-use-end-to-end-deep-learning.mp4	13.8 MB
01_what-is-end-to-end-deep-learning.mp4	15.7 MB
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03_addressing-data-mismatch.en.txt	9.3 KB
01_training-and-testing-on-different-distributions.en.txt	9.3 KB
01_training-and-testing-on-different-distributions.en.srt	14.6 KB
03_addressing-data-mismatch.en.srt	14.9 KB
02_bias-and-variance-with-mismatched-data-distributions.en.txt	14.9 KB
02_bias-and-variance-with-mismatched-data-distributions.en.srt	23.7 KB
03_addressing-data-mismatch_Adressing_data_mismatch.pdf	338.0 KB
01_training-and-testing-on-different-distributions_Training_and_testing_on_different_distributions.pdf	350.3 KB
02_bias-and-variance-with-mismatched-data-distributions_C3W2L05.pptx	365.9 KB
02_bias-and-variance-with-mismatched-data-distributions_Bias_and_variance_with_mismatched_data_distributions.pdf	368.2 KB
03_addressing-data-mismatch_C3W2L06.pptx	9.8 MB
03_addressing-data-mismatch.mp4	13.8 MB
01_training-and-testing-on-different-distributions_C3W2L04.pptx	13.8 MB
01_training-and-testing-on-different-distributions.mp4	15.0 MB
02_bias-and-variance-with-mismatched-data-distributions.mp4	23.8 MB
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01_transfer-learning_C3W2L07.pptx	223.6 KB
01_transfer-learning_Transfer_Learning.pdf	517.5 KB
02_multi-task-learning_Multi_Task_Learning.pdf	578.4 KB
02_multi-task-learning_C3W2L08.pptx	1.5 MB
01_transfer-learning.mp4	16.3 MB
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01_ian-goodfellow-interview.zh-TW.txt	10.8 KB
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01_ian-goodfellow-interview.ja.txt	17.4 KB
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01_ian-goodfellow-interview.ja.srt	26.6 KB
01_ian-goodfellow-interview.mp4	26.0 MB
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01_pieter-abbeel-interview.zh-TW.txt	12.1 KB
01_pieter-abbeel-interview.en.txt	16.6 KB
01_pieter-abbeel-interview.pt-BR.txt	18.8 KB
01_pieter-abbeel-interview.ja.txt	19.5 KB
01_pieter-abbeel-interview.zh-TW.srt	23.1 KB
01_pieter-abbeel-interview.en.srt	27.5 KB
01_pieter-abbeel-interview.pt-BR.srt	29.7 KB
01_pieter-abbeel-interview.ja.srt	30.5 KB
01_pieter-abbeel-interview.mp4	37.3 MB
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01_ruslan-salakhutdinov-interview.en.txt	15.6 KB
01_ruslan-salakhutdinov-interview.en.srt	24.6 KB
01_ruslan-salakhutdinov-interview.mp4	46.9 MB
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01_andrej-karpathy-interview.en.txt	17.3 KB
01_andrej-karpathy-interview.en.srt	27.6 KB
01_andrej-karpathy-interview.mp4	38.3 MB
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01_yoshua-bengio-interview.zh-CN.txt	19.0 KB
01_yoshua-bengio-interview.en.txt	21.9 KB
01_yoshua-bengio-interview.zh-CN.srt	32.1 KB
01_yoshua-bengio-interview.en.srt	35.0 KB
01_yoshua-bengio-interview.mp4	57.8 MB
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01_geoffrey-hinton-interview.zh-TW.txt	28.3 KB
01_geoffrey-hinton-interview.en.txt	36.5 KB
01_geoffrey-hinton-interview.ja.txt	42.1 KB
01_geoffrey-hinton-interview.zh-TW.srt	50.6 KB
01_geoffrey-hinton-interview.en.srt	58.9 KB
01_geoffrey-hinton-interview.ja.srt	64.4 KB
01_geoffrey-hinton-interview.mp4	88.6 MB
/.../04_machine-learning-flight-simulator/
01_machine-learning-flight-simulator_instructions.html	2.5 MB
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