Coursera - Machine Learning Specialization by DeepLearning.AI

Creation Time	Oct. 16, 2025, 10:09 a.m.
Last Access Time	Oct. 25, 2025, 4:58 p.m.
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Keywords	Specialization AI Coursera - Machine DeepLearning Learning by
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Total Files	463
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2. advanced-learning-algorithms/04_decision-trees/05_conversations-with-andrew-optional/01_andrew-ng-and-chris-manning-on-natural-language-processing.mp4 236.2 MB
3. unsupervised-learning-recommenders-reinforcement-learning/03_reinforcement-learning/06_conversations-with-andrew-optional/01_andrew-ng-and-chelsea-finn-on-ai-and-robotics.mp4 230.7 MB
1. machine-learning/03_week-3-classification/06_conversations-with-andrew-optional/01_andrew-ng-and-fei-fei-li-on-human-centered-ai.mp4 214.7 MB
2. advanced-learning-algorithms/02_neural-network-training/05_back-propagation-optional/01_what-is-a-derivative-optional.mp4 38.3 MB
3. unsupervised-learning-recommenders-reinforcement-learning/02_recommender-systems/02_recommender-systems-implementation-detail/02_tensorflow-implementation-of-collaborative-filtering.mp4 35.9 MB
1. machine-learning/01_week-1-introduction-to-machine-learning/01_overview-of-machine-learning/02_applications-of-machine-learning.mp4 33.4 MB
2. advanced-learning-algorithms/03_advice-for-applying-machine-learning/03_machine-learning-development-process/03_adding-data.mp4 32.9 MB
3. unsupervised-learning-recommenders-reinforcement-learning/03_reinforcement-learning/03_continuous-state-spaces/03_learning-the-state-value-function.mp4 31.1 MB
3. unsupervised-learning-recommenders-reinforcement-learning/02_recommender-systems/01_collaborative-filtering/03_collaborative-filtering-algorithm.mp4 31.0 MB
3. unsupervised-learning-recommenders-reinforcement-learning/03_reinforcement-learning/01_reinforcement-learning-introduction/01_what-is-reinforcement-learning.mp4 31.0 MB
3. unsupervised-learning-recommenders-reinforcement-learning/01_unsupervised-learning/03_anomaly-detection/06_choosing-what-features-to-use.mp4 30.9 MB
2. advanced-learning-algorithms/02_neural-network-training/05_back-propagation-optional/02_computation-graph-optional.mp4 30.0 MB
2. advanced-learning-algorithms/03_advice-for-applying-machine-learning/01_advice-for-applying-machine-learning/03_model-selection-and-training-cross-validation-test-sets.mp4 29.6 MB
1. machine-learning/01_week-1-introduction-to-machine-learning/03_regression-model/04_cost-function-intuition.mp4 29.6 MB
3. unsupervised-learning-recommenders-reinforcement-learning/01_unsupervised-learning/02_clustering/04_optimization-objective.mp4 29.5 MB
2. advanced-learning-algorithms/04_decision-trees/01_decision-trees/02_learning-process.mp4 29.0 MB
3. unsupervised-learning-recommenders-reinforcement-learning/03_reinforcement-learning/01_reinforcement-learning-introduction/03_the-return-in-reinforcement-learning.mp4 29.0 MB
2. advanced-learning-algorithms/01_neural-networks/05_speculations-on-artificial-general-intelligence-agi/01_is-there-a-path-to-agi.mp4 28.1 MB
2. advanced-learning-algorithms/03_advice-for-applying-machine-learning/02_bias-and-variance/05_deciding-what-to-try-next-revisited.mp4 28.0 MB
3. unsupervised-learning-recommenders-reinforcement-learning/02_recommender-systems/04_principal-component-analysis/02_pca-algorithm-optional.mp4 28.0 MB
3. unsupervised-learning-recommenders-reinforcement-learning/03_reinforcement-learning/03_continuous-state-spaces/01_example-of-continuous-state-space-applications.mp4 27.0 MB
2. advanced-learning-algorithms/03_advice-for-applying-machine-learning/02_bias-and-variance/06_bias-variance-and-neural-networks.mp4 26.9 MB
2. advanced-learning-algorithms/01_neural-networks/01_neural-networks-intuition/02_neurons-and-the-brain.mp4 26.9 MB
3. unsupervised-learning-recommenders-reinforcement-learning/02_recommender-systems/04_principal-component-analysis/01_reducing-the-number-of-features-optional.mp4 26.7 MB
3. unsupervised-learning-recommenders-reinforcement-learning/03_reinforcement-learning/02_state-action-value-function/03_bellman-equation.mp4 26.7 MB
3. unsupervised-learning-recommenders-reinforcement-learning/01_unsupervised-learning/03_anomaly-detection/01_finding-unusual-events.mp4 26.3 MB
2. advanced-learning-algorithms/02_neural-network-training/05_back-propagation-optional/03_larger-neural-network-example-optional.mp4 26.1 MB
1. machine-learning/01_week-1-introduction-to-machine-learning/02_supervised-vs-unsupervised-machine-learning/01_what-is-machine-learning.mp4 26.0 MB
3. unsupervised-learning-recommenders-reinforcement-learning/03_reinforcement-learning/03_continuous-state-spaces/06_algorithm-refinement-mini-batch-and-soft-updates-optional.mp4 25.6 MB
2. advanced-learning-algorithms/03_advice-for-applying-machine-learning/03_machine-learning-development-process/06_fairness-bias-and-ethics.mp4 25.3 MB
3. unsupervised-learning-recommenders-reinforcement-learning/03_reinforcement-learning/03_continuous-state-spaces/05_algorithm-refinement-greedy-policy.mp4 25.3 MB
2. advanced-learning-algorithms/01_neural-networks/03_tensorflow-implementation/02_data-in-tensorflow.mp4 24.8 MB
3. unsupervised-learning-recommenders-reinforcement-learning/02_recommender-systems/03_content-based-filtering/04_ethical-use-of-recommender-systems.mp4 24.8 MB
1. machine-learning/03_week-3-classification/02_cost-function-for-logistic-regression/01_cost-function-for-logistic-regression.mp4 24.6 MB
2. advanced-learning-algorithms/01_neural-networks/03_tensorflow-implementation/03_building-a-neural-network.mp4 24.4 MB
3. unsupervised-learning-recommenders-reinforcement-learning/02_recommender-systems/03_content-based-filtering/02_deep-learning-for-content-based-filtering.mp4 24.3 MB
2. advanced-learning-algorithms/01_neural-networks/01_neural-networks-intuition/03_demand-prediction.mp4 24.2 MB
2. advanced-learning-algorithms/02_neural-network-training/01_neural-network-training/02_training-details.mp4 24.1 MB
1. machine-learning/03_week-3-classification/04_the-problem-of-overfitting/01_the-problem-of-overfitting.mp4 24.0 MB
3. unsupervised-learning-recommenders-reinforcement-learning/01_unsupervised-learning/03_anomaly-detection/04_developing-and-evaluating-an-anomaly-detection-system.mp4 23.9 MB
2. advanced-learning-algorithms/04_decision-trees/02_decision-tree-learning/02_choosing-a-split-information-gain.mp4 23.8 MB
3. unsupervised-learning-recommenders-reinforcement-learning/02_recommender-systems/01_collaborative-filtering/02_using-per-item-features.mp4 23.5 MB
2. advanced-learning-algorithms/02_neural-network-training/02_activation-functions/02_choosing-activation-functions.mp4 23.4 MB
2. advanced-learning-algorithms/03_advice-for-applying-machine-learning/02_bias-and-variance/04_learning-curves.mp4 23.3 MB
1. machine-learning/02_week-2-regression-with-multiple-input-variables/02_gradient-descent-in-practice/06_polynomial-regression.mp4 22.8 MB
1. machine-learning/01_week-1-introduction-to-machine-learning/04_train-the-model-with-gradient-descent/01_gradient-descent.mp4 22.5 MB
1. machine-learning/01_week-1-introduction-to-machine-learning/01_overview-of-machine-learning/01_welcome-to-machine-learning.mp4 22.2 MB
2. advanced-learning-algorithms/03_advice-for-applying-machine-learning/04_skewed-datasets-optional/02_trading-off-precision-and-recall.mp4 22.2 MB
1. machine-learning/03_week-3-classification/01_classification-with-logistic-regression/02_logistic-regression.mp4 21.5 MB
2. advanced-learning-algorithms/01_neural-networks/04_neural-network-implementation-in-python/02_general-implementation-of-forward-propagation.mp4 21.3 MB
2. advanced-learning-algorithms/03_advice-for-applying-machine-learning/02_bias-and-variance/02_regularization-and-bias-variance.mp4 21.1 MB
2. advanced-learning-algorithms/04_decision-trees/03_tree-ensembles/04_xgboost.mp4 21.1 MB
1. machine-learning/03_week-3-classification/01_classification-with-logistic-regression/01_motivations.mp4 21.0 MB
1. machine-learning/01_week-1-introduction-to-machine-learning/04_train-the-model-with-gradient-descent/02_implementing-gradient-descent.mp4 20.9 MB
1. machine-learning/03_week-3-classification/04_the-problem-of-overfitting/05_regularized-logistic-regression.mp4 20.9 MB
3. unsupervised-learning-recommenders-reinforcement-learning/01_unsupervised-learning/03_anomaly-detection/02_gaussian-normal-distribution.mp4 20.9 MB
2. advanced-learning-algorithms/02_neural-network-training/03_multiclass-classification/02_softmax.mp4 20.7 MB
3. unsupervised-learning-recommenders-reinforcement-learning/02_recommender-systems/01_collaborative-filtering/01_making-recommendations.mp4 20.4 MB
2. advanced-learning-algorithms/01_neural-networks/02_neural-network-model/01_neural-network-layer.mp4 20.4 MB
3. unsupervised-learning-recommenders-reinforcement-learning/01_unsupervised-learning/03_anomaly-detection/03_anomaly-detection-algorithm.mp4 20.3 MB
3. unsupervised-learning-recommenders-reinforcement-learning/01_unsupervised-learning/03_anomaly-detection/05_anomaly-detection-vs-supervised-learning.mp4 20.3 MB
2. advanced-learning-algorithms/03_advice-for-applying-machine-learning/02_bias-and-variance/01_diagnosing-bias-and-variance.mp4 20.3 MB
1. machine-learning/01_week-1-introduction-to-machine-learning/03_regression-model/01_linear-regression-model-part-1.mp4 20.3 MB
3. unsupervised-learning-recommenders-reinforcement-learning/02_recommender-systems/03_content-based-filtering/01_collaborative-filtering-vs-content-based-filtering.mp4 20.0 MB
1. machine-learning/01_week-1-introduction-to-machine-learning/02_supervised-vs-unsupervised-machine-learning/06_jupyter-notebooks.mp4 19.9 MB
3. unsupervised-learning-recommenders-reinforcement-learning/03_reinforcement-learning/02_state-action-value-function/01_state-action-value-function-definition.mp4 19.8 MB
3. unsupervised-learning-recommenders-reinforcement-learning/02_recommender-systems/01_collaborative-filtering/04_binary-labels-favs-likes-and-clicks.mp4 19.8 MB
1. machine-learning/03_week-3-classification/04_the-problem-of-overfitting/04_regularized-linear-regression.mp4 19.8 MB
3. unsupervised-learning-recommenders-reinforcement-learning/01_unsupervised-learning/02_clustering/03_k-means-algorithm.mp4 19.8 MB
2. advanced-learning-algorithms/02_neural-network-training/04_additional-neural-network-concepts/02_additional-layer-types.mp4 19.5 MB
2. advanced-learning-algorithms/03_advice-for-applying-machine-learning/01_advice-for-applying-machine-learning/02_evaluating-a-model.mp4 19.5 MB
2. advanced-learning-algorithms/03_advice-for-applying-machine-learning/02_bias-and-variance/03_establishing-a-baseline-level-of-performance.mp4 19.4 MB
1. machine-learning/02_week-2-regression-with-multiple-input-variables/01_multiple-linear-regression/04_gradient-descent-for-multiple-linear-regression.mp4 19.4 MB
3. unsupervised-learning-recommenders-reinforcement-learning/03_reinforcement-learning/02_state-action-value-function/04_random-stochastic-environment-optional.mp4 19.3 MB
2. advanced-learning-algorithms/03_advice-for-applying-machine-learning/03_machine-learning-development-process/04_transfer-learning-using-data-from-a-different-task.mp4 19.0 MB
2. advanced-learning-algorithms/03_advice-for-applying-machine-learning/04_skewed-datasets-optional/01_error-metrics-for-skewed-datasets.mp4 19.0 MB
1. machine-learning/03_week-3-classification/01_classification-with-logistic-regression/03_decision-boundary.mp4 18.9 MB
3. unsupervised-learning-recommenders-reinforcement-learning/02_recommender-systems/02_recommender-systems-implementation-detail/01_mean-normalization.mp4 18.9 MB
2. advanced-learning-algorithms/04_decision-trees/02_decision-tree-learning/06_regression-trees-optional.mp4 18.9 MB
1. machine-learning/02_week-2-regression-with-multiple-input-variables/01_multiple-linear-regression/01_multiple-features.mp4 18.9 MB
1. machine-learning/01_week-1-introduction-to-machine-learning/02_supervised-vs-unsupervised-machine-learning/04_unsupervised-learning-part-1.mp4 18.7 MB
2. advanced-learning-algorithms/04_decision-trees/02_decision-tree-learning/03_putting-it-together.mp4 18.4 MB
1. machine-learning/01_week-1-introduction-to-machine-learning/04_train-the-model-with-gradient-descent/06_running-gradient-descent.mp4 18.4 MB
3. unsupervised-learning-recommenders-reinforcement-learning/02_recommender-systems/03_content-based-filtering/03_recommending-from-a-large-catalogue.mp4 18.0 MB
3. unsupervised-learning-recommenders-reinforcement-learning/01_unsupervised-learning/02_clustering/05_initializing-k-means.mp4 17.8 MB
3. unsupervised-learning-recommenders-reinforcement-learning/02_recommender-systems/04_principal-component-analysis/03_pca-in-code-optional.mp4 17.8 MB
2. advanced-learning-algorithms/03_advice-for-applying-machine-learning/03_machine-learning-development-process/02_error-analysis.mp4 17.5 MB
2. advanced-learning-algorithms/04_decision-trees/03_tree-ensembles/05_when-to-use-decision-trees.mp4 17.5 MB
1. machine-learning/01_week-1-introduction-to-machine-learning/03_regression-model/05_visualizing-the-cost-function.mp4 17.3 MB
1. machine-learning/02_week-2-regression-with-multiple-input-variables/01_multiple-linear-regression/02_vectorization-part-1.mp4 17.3 MB
1. machine-learning/02_week-2-regression-with-multiple-input-variables/01_multiple-linear-regression/03_vectorization-part-2.mp4 17.3 MB
1. machine-learning/01_week-1-introduction-to-machine-learning/03_regression-model/06_visualization-examples.mp4 17.2 MB
1. machine-learning/03_week-3-classification/04_the-problem-of-overfitting/03_cost-function-with-regularization.mp4 17.1 MB
2. advanced-learning-algorithms/01_neural-networks/02_neural-network-model/02_more-complex-neural-networks.mp4 17.0 MB
1. machine-learning/01_week-1-introduction-to-machine-learning/04_train-the-model-with-gradient-descent/04_learning-rate.mp4 16.9 MB
3. unsupervised-learning-recommenders-reinforcement-learning/01_unsupervised-learning/02_clustering/06_choosing-the-number-of-clusters.mp4 16.9 MB
2. advanced-learning-algorithms/01_neural-networks/03_tensorflow-implementation/01_inference-in-code.mp4 16.8 MB
1. machine-learning/01_week-1-introduction-to-machine-learning/03_regression-model/03_cost-function-formula.mp4 16.7 MB
3. unsupervised-learning-recommenders-reinforcement-learning/02_recommender-systems/02_recommender-systems-implementation-detail/03_finding-related-items.mp4 16.6 MB
1. machine-learning/01_week-1-introduction-to-machine-learning/04_train-the-model-with-gradient-descent/05_gradient-descent-for-linear-regression.mp4 16.4 MB
2. advanced-learning-algorithms/03_advice-for-applying-machine-learning/03_machine-learning-development-process/05_full-cycle-of-a-machine-learning-project.mp4 16.4 MB
1. machine-learning/02_week-2-regression-with-multiple-input-variables/02_gradient-descent-in-practice/04_choosing-the-learning-rate.mp4 16.3 MB
1. machine-learning/01_week-1-introduction-to-machine-learning/03_regression-model/02_linear-regression-model-part-2.mp4 16.2 MB
2. advanced-learning-algorithms/01_neural-networks/06_vectorization-optional/03_matrix-multiplication-rules.mp4 16.1 MB
2. advanced-learning-algorithms/04_decision-trees/02_decision-tree-learning/01_measuring-purity.mp4 16.0 MB
2. advanced-learning-algorithms/01_neural-networks/06_vectorization-optional/02_matrix-multiplication.mp4 15.9 MB
2. advanced-learning-algorithms/04_decision-trees/02_decision-tree-learning/05_continuous-valued-features.mp4 15.9 MB
1. machine-learning/03_week-3-classification/04_the-problem-of-overfitting/02_addressing-overfitting.mp4 15.7 MB
2. advanced-learning-algorithms/02_neural-network-training/04_additional-neural-network-concepts/01_advanced-optimization.mp4 15.6 MB
2. advanced-learning-algorithms/02_neural-network-training/03_multiclass-classification/04_improved-implementation-of-softmax.mp4 15.1 MB
2. advanced-learning-algorithms/02_neural-network-training/03_multiclass-classification/03_neural-network-with-softmax-output.mp4 15.0 MB
2. advanced-learning-algorithms/03_advice-for-applying-machine-learning/03_machine-learning-development-process/01_iterative-loop-of-ml-development.mp4 14.8 MB
2. advanced-learning-algorithms/04_decision-trees/01_decision-trees/01_decision-tree-model.mp4 14.8 MB
3. unsupervised-learning-recommenders-reinforcement-learning/03_reinforcement-learning/02_state-action-value-function/02_state-action-value-function-example.mp4 14.6 MB
2. advanced-learning-algorithms/01_neural-networks/01_neural-networks-intuition/04_example-recognizing-images.mp4 14.6 MB
1. machine-learning/01_week-1-introduction-to-machine-learning/02_supervised-vs-unsupervised-machine-learning/03_supervised-learning-part-2.mp4 14.4 MB
1. machine-learning/02_week-2-regression-with-multiple-input-variables/02_gradient-descent-in-practice/02_feature-scaling-part-2.mp4 14.4 MB
2. advanced-learning-algorithms/04_decision-trees/03_tree-ensembles/02_sampling-with-replacement.mp4 14.3 MB
2. advanced-learning-algorithms/04_decision-trees/02_decision-tree-learning/04_using-one-hot-encoding-of-categorical-features.mp4 14.2 MB
3. unsupervised-learning-recommenders-reinforcement-learning/03_reinforcement-learning/05_summary-and-thank-you/01_summary-and-thank-you.mp4 13.9 MB
1. machine-learning/01_week-1-introduction-to-machine-learning/02_supervised-vs-unsupervised-machine-learning/02_supervised-learning-part-1.mp4 13.9 MB
1. machine-learning/02_week-2-regression-with-multiple-input-variables/02_gradient-descent-in-practice/01_feature-scaling-part-1.mp4 13.6 MB
2. advanced-learning-algorithms/01_neural-networks/06_vectorization-optional/04_matrix-multiplication-code.mp4 13.4 MB
1. machine-learning/01_week-1-introduction-to-machine-learning/04_train-the-model-with-gradient-descent/03_gradient-descent-intuition.mp4 13.2 MB
3. unsupervised-learning-recommenders-reinforcement-learning/02_recommender-systems/03_content-based-filtering/05_tensorflow-implementation-of-content-based-filtering.mp4 12.9 MB
2. advanced-learning-algorithms/02_neural-network-training/02_activation-functions/03_why-do-we-need-activation-functions.mp4 12.9 MB
1. machine-learning/03_week-3-classification/03_gradient-descent-for-logistic-regression/01_gradient-descent-implementation.mp4 12.8 MB
2. advanced-learning-algorithms/04_decision-trees/03_tree-ensembles/03_random-forest-algorithm.mp4 12.7 MB
3. unsupervised-learning-recommenders-reinforcement-learning/03_reinforcement-learning/01_reinforcement-learning-introduction/02_mars-rover-example.mp4 12.7 MB
2. advanced-learning-algorithms/01_neural-networks/02_neural-network-model/03_inference-making-predictions-forward-propagation.mp4 12.6 MB
2. advanced-learning-algorithms/04_decision-trees/03_tree-ensembles/01_using-multiple-decision-trees.mp4 12.5 MB
2. advanced-learning-algorithms/01_neural-networks/04_neural-network-implementation-in-python/01_forward-prop-in-a-single-layer.mp4 12.4 MB
3. unsupervised-learning-recommenders-reinforcement-learning/01_unsupervised-learning/02_clustering/02_k-means-intuition.mp4 12.4 MB
2. advanced-learning-algorithms/01_neural-networks/06_vectorization-optional/01_how-neural-networks-are-implemented-efficiently.mp4 12.2 MB
2. advanced-learning-algorithms/02_neural-network-training/02_activation-functions/01_alternatives-to-the-sigmoid-activation.mp4 12.0 MB
1. machine-learning/03_week-3-classification/02_cost-function-for-logistic-regression/02_simplified-cost-function-for-logistic-regression.mp4 11.7 MB
2. advanced-learning-algorithms/03_advice-for-applying-machine-learning/01_advice-for-applying-machine-learning/01_deciding-what-to-try-next.mp4 11.4 MB
2. advanced-learning-algorithms/02_neural-network-training/01_neural-network-training/01_tensorflow-implementation.mp4 11.4 MB
3. unsupervised-learning-recommenders-reinforcement-learning/03_reinforcement-learning/01_reinforcement-learning-introduction/05_review-of-key-concepts.mp4 11.4 MB
2. advanced-learning-algorithms/02_neural-network-training/03_multiclass-classification/05_classification-with-multiple-outputs-optional.mp4 11.3 MB
1. machine-learning/02_week-2-regression-with-multiple-input-variables/02_gradient-descent-in-practice/03_checking-gradient-descent-for-convergence.mp4 11.0 MB
2. advanced-learning-algorithms/01_neural-networks/01_neural-networks-intuition/01_welcome.mp4 10.6 MB
3. unsupervised-learning-recommenders-reinforcement-learning/03_reinforcement-learning/03_continuous-state-spaces/02_lunar-lander.mp4 10.4 MB
3. unsupervised-learning-recommenders-reinforcement-learning/01_unsupervised-learning/02_clustering/01_what-is-clustering.mp4 8.8 MB
2. advanced-learning-algorithms/02_neural-network-training/03_multiclass-classification/01_multiclass.mp4 8.4 MB
3. unsupervised-learning-recommenders-reinforcement-learning/01_unsupervised-learning/01_welcome-to-the-course/01_welcome.mp4 8.3 MB
1. machine-learning/01_week-1-introduction-to-machine-learning/02_supervised-vs-unsupervised-machine-learning/05_unsupervised-learning-part-2.mp4 8.2 MB
3. unsupervised-learning-recommenders-reinforcement-learning/03_reinforcement-learning/03_continuous-state-spaces/07_the-state-of-reinforcement-learning.mp4 7.9 MB
1. machine-learning/02_week-2-regression-with-multiple-input-variables/02_gradient-descent-in-practice/05_feature-engineering.mp4 7.8 MB
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3. unsupervised-learning-recommenders-reinforcement-learning/03_reinforcement-learning/01_reinforcement-learning-introduction/04_making-decisions-policies-in-reinforcement-learning.mp4 5.8 MB
2. advanced-learning-algorithms/04_decision-trees/05_conversations-with-andrew-optional/01_andrew-ng-and-chris-manning-on-natural-language-processing.en.srt 63.9 KB
1. machine-learning/03_week-3-classification/06_conversations-with-andrew-optional/01_andrew-ng-and-fei-fei-li-on-human-centered-ai.en.srt 59.7 KB
3. unsupervised-learning-recommenders-reinforcement-learning/03_reinforcement-learning/06_conversations-with-andrew-optional/01_andrew-ng-and-chelsea-finn-on-ai-and-robotics.en.srt 50.6 KB
2. advanced-learning-algorithms/04_decision-trees/05_conversations-with-andrew-optional/01_andrew-ng-and-chris-manning-on-natural-language-processing.en.txt 39.8 KB
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1. machine-learning/03_week-3-classification/06_conversations-with-andrew-optional/01_andrew-ng-and-fei-fei-li-on-human-centered-ai.en.txt 30.7 KB
2. advanced-learning-algorithms/02_neural-network-training/05_back-propagation-optional/01_what-is-a-derivative-optional.en.srt 29.7 KB
2. advanced-learning-algorithms/01_neural-networks/01_neural-networks-intuition/03_demand-prediction.en.srt 26.6 KB
2. advanced-learning-algorithms/02_neural-network-training/05_back-propagation-optional/02_computation-graph-optional.en.srt 26.4 KB
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