Torrent details for "Coursera Machine Learning Specialization by DeepLearning AI DevC…" Log in to bookmark
Controls:
×
Report Torrent
Please select a reason for reporting this torrent:
Your report will be reviewed by our moderation team.
×
Report Information
Loading report information...
This torrent has been reported 0 times.
Report Summary:
| User | Reason | Date |
|---|
Failed to load report information.
×
Success
Your report has been submitted successfully.
Checked by:
Category:
Language:
English
Total Size:
3.5 GB
Info Hash:
DB83B358E3FA5A6DDCC731BB936DA503A039CFD6
Added By:
Added:
July 6, 2023, 7:32 p.m.
Stats:
|
(Last updated: Oct. 21, 2025, 10:22 a.m.)
| File | Size |
|---|---|
| Get Bonus Downloads Here.url | 182 bytes |
| Bonus Resources.txt | 386 bytes |
| 01_welcome.en.srt | 5.4 KB |
| 01_welcome.en.txt | 2.8 KB |
| 01_welcome.mp4 | 10.6 MB |
| 02_neurons-and-the-brain.en.srt | 18.3 KB |
| 02_neurons-and-the-brain.en.txt | 9.5 KB |
| 02_neurons-and-the-brain.mp4 | 26.9 MB |
| 03_demand-prediction.en.srt | 26.6 KB |
| 03_demand-prediction.en.txt | 14.0 KB |
| 03_demand-prediction.mp4 | 24.2 MB |
| 04_example-recognizing-images.en.srt | 10.2 KB |
| 04_example-recognizing-images.en.txt | 5.3 KB |
| 04_example-recognizing-images.mp4 | 14.6 MB |
| 01_neural-network-layer.en.srt | 13.0 KB |
| 01_neural-network-layer.en.txt | 6.8 KB |
| 01_neural-network-layer.mp4 | 20.4 MB |
| 02_more-complex-neural-networks.en.srt | 11.7 KB |
| 02_more-complex-neural-networks.en.txt | 6.1 KB |
| 02_more-complex-neural-networks.mp4 | 17.0 MB |
| 03_inference-making-predictions-forward-propagation.en.srt | 7.0 KB |
| 03_inference-making-predictions-forward-propagation.en.txt | 4.3 KB |
| 03_inference-making-predictions-forward-propagation.mp4 | 12.6 MB |
| 01_inference-in-code.en.srt | 10.0 KB |
| 01_inference-in-code.en.txt | 5.2 KB |
| 01_inference-in-code.mp4 | 16.8 MB |
| 02_data-in-tensorflow.en.srt | 13.2 KB |
| 02_data-in-tensorflow.en.txt | 8.3 KB |
| 02_data-in-tensorflow.mp4 | 24.8 MB |
| 03_building-a-neural-network.en.srt | 10.7 KB |
| 03_building-a-neural-network.en.txt | 6.9 KB |
| 03_building-a-neural-network.mp4 | 24.4 MB |
| 01_forward-prop-in-a-single-layer.en.srt | 6.1 KB |
| 01_forward-prop-in-a-single-layer.en.txt | 3.8 KB |
| 01_forward-prop-in-a-single-layer.mp4 | 12.4 MB |
| 02_general-implementation-of-forward-propagation.en.srt | 11.6 KB |
| 02_general-implementation-of-forward-propagation.en.txt | 6.0 KB |
| 02_general-implementation-of-forward-propagation.mp4 | 21.3 MB |
| 01_is-there-a-path-to-agi.en.srt | 16.4 KB |
| 01_is-there-a-path-to-agi.en.txt | 8.6 KB |
| 01_is-there-a-path-to-agi.mp4 | 28.1 MB |
| 01_how-neural-networks-are-implemented-efficiently.en.srt | 6.1 KB |
| 01_how-neural-networks-are-implemented-efficiently.en.txt | 3.2 KB |
| 01_how-neural-networks-are-implemented-efficiently.mp4 | 12.2 MB |
| 02_matrix-multiplication.en.srt | 12.3 KB |
| 02_matrix-multiplication.en.txt | 6.4 KB |
| 02_matrix-multiplication.mp4 | 15.9 MB |
| 03_matrix-multiplication-rules.en.srt | 11.4 KB |
| 03_matrix-multiplication-rules.en.txt | 7.1 KB |
| 03_matrix-multiplication-rules.mp4 | 16.1 MB |
| 04_matrix-multiplication-code.en.srt | 8.8 KB |
| 04_matrix-multiplication-code.en.txt | 4.6 KB |
| 04_matrix-multiplication-code.mp4 | 13.4 MB |
| 01_tensorflow-implementation.en.srt | 5.9 KB |
| 01_tensorflow-implementation.en.txt | 3.1 KB |
| 01_tensorflow-implementation.mp4 | 11.4 MB |
| 02_training-details.en.srt | 20.9 KB |
| 02_training-details.en.txt | 10.9 KB |
| 02_training-details.mp4 | 24.1 MB |
| 01_alternatives-to-the-sigmoid-activation.en.srt | 6.8 KB |
| 01_alternatives-to-the-sigmoid-activation.en.txt | 4.3 KB |
| 01_alternatives-to-the-sigmoid-activation.mp4 | 12.0 MB |
| 02_choosing-activation-functions.en.srt | 13.8 KB |
| 02_choosing-activation-functions.en.txt | 7.2 KB |
| 02_choosing-activation-functions.mp4 | 23.4 MB |
| 03_why-do-we-need-activation-functions.en.srt | 7.6 KB |
| 03_why-do-we-need-activation-functions.en.txt | 4.0 KB |
| 03_why-do-we-need-activation-functions.mp4 | 12.9 MB |
| 01_multiclass.en.srt | 4.3 KB |
| 01_multiclass.en.txt | 2.8 KB |
| 01_multiclass.mp4 | 8.4 MB |
| 02_softmax.en.srt | 15.4 KB |
| 02_softmax.en.txt | 7.9 KB |
| 02_softmax.mp4 | 20.7 MB |
| 03_neural-network-with-softmax-output.en.srt | 9.1 KB |
| 03_neural-network-with-softmax-output.en.txt | 5.8 KB |
| 03_neural-network-with-softmax-output.mp4 | 15.0 MB |
| 04_improved-implementation-of-softmax.en.srt | 13.4 KB |
| 04_improved-implementation-of-softmax.en.txt | 7.1 KB |
| 04_improved-implementation-of-softmax.mp4 | 15.1 MB |
| 05_classification-with-multiple-outputs-optional.en.srt | 6.8 KB |
| 05_classification-with-multiple-outputs-optional.en.txt | 3.6 KB |
| 05_classification-with-multiple-outputs-optional.mp4 | 11.3 MB |
| 01_advanced-optimization.en.srt | 10.5 KB |
| 01_advanced-optimization.en.txt | 5.6 KB |
| 01_advanced-optimization.mp4 | 15.6 MB |
| 02_additional-layer-types.en.srt | 11.3 KB |
| 02_additional-layer-types.en.txt | 7.2 KB |
| 02_additional-layer-types.mp4 | 19.5 MB |
| 01_what-is-a-derivative-optional.en.srt | 29.7 KB |
| 01_what-is-a-derivative-optional.en.txt | 15.2 KB |
| 01_what-is-a-derivative-optional.mp4 | 38.3 MB |
| 02_computation-graph-optional.en.srt | 26.4 KB |
| 02_computation-graph-optional.en.txt | 13.6 KB |
| 02_computation-graph-optional.mp4 | 30.0 MB |
| 03_larger-neural-network-example-optional.en.srt | 11.9 KB |
| 03_larger-neural-network-example-optional.en.txt | 7.3 KB |
| 03_larger-neural-network-example-optional.mp4 | 26.1 MB |
| 01_deciding-what-to-try-next.en.srt | 6.8 KB |
| 01_deciding-what-to-try-next.en.txt | 3.6 KB |
| 01_deciding-what-to-try-next.mp4 | 11.4 MB |
| 02_evaluating-a-model.en.srt | 12.8 KB |
| 02_evaluating-a-model.en.txt | 8.1 KB |
| 02_evaluating-a-model.mp4 | 19.5 MB |
| 03_model-selection-and-training-cross-validation-test-sets.en.srt | 21.3 KB |
| 03_model-selection-and-training-cross-validation-test-sets.en.txt | 11.2 KB |
| 03_model-selection-and-training-cross-validation-test-sets.mp4 | 29.6 MB |
| 01_diagnosing-bias-and-variance.en.srt | 17.8 KB |
| 01_diagnosing-bias-and-variance.en.txt | 9.2 KB |
| 01_diagnosing-bias-and-variance.mp4 | 20.3 MB |
| 02_regularization-and-bias-variance.en.srt | 16.3 KB |
| 02_regularization-and-bias-variance.en.txt | 8.3 KB |
| 02_regularization-and-bias-variance.mp4 | 21.1 MB |
| 03_establishing-a-baseline-level-of-performance.en.srt | 15.8 KB |
| 03_establishing-a-baseline-level-of-performance.en.txt | 8.3 KB |
| 03_establishing-a-baseline-level-of-performance.mp4 | 19.4 MB |
| 04_learning-curves.en.srt | 20.1 KB |
| 04_learning-curves.en.txt | 10.5 KB |
| 04_learning-curves.mp4 | 23.3 MB |
| 05_deciding-what-to-try-next-revisited.en.srt | 14.5 KB |
| 05_deciding-what-to-try-next-revisited.en.txt | 7.8 KB |
| 05_deciding-what-to-try-next-revisited.mp4 | 28.0 MB |
| 06_bias-variance-and-neural-networks.en.srt | 14.6 KB |
| 06_bias-variance-and-neural-networks.en.txt | 9.5 KB |
| 06_bias-variance-and-neural-networks.mp4 | 26.9 MB |
| 01_iterative-loop-of-ml-development.en.srt | 12.1 KB |
| 01_iterative-loop-of-ml-development.en.txt | 6.4 KB |
| 01_iterative-loop-of-ml-development.mp4 | 14.8 MB |
| 02_error-analysis.en.srt | 13.2 KB |
| 02_error-analysis.en.txt | 7.0 KB |
| 02_error-analysis.mp4 | 17.5 MB |
| 03_adding-data.en.srt | 18.9 KB |
| 03_adding-data.en.txt | 12.0 KB |
| 03_adding-data.mp4 | 32.9 MB |
| 04_transfer-learning-using-data-from-a-different-task.en.srt | 20.2 KB |
| 04_transfer-learning-using-data-from-a-different-task.en.txt | 10.5 KB |
| 04_transfer-learning-using-data-from-a-different-task.mp4 | 19.0 MB |
| 05_full-cycle-of-a-machine-learning-project.en.srt | 14.5 KB |
| 05_full-cycle-of-a-machine-learning-project.en.txt | 7.7 KB |
| 05_full-cycle-of-a-machine-learning-project.mp4 | 16.4 MB |
| 06_fairness-bias-and-ethics.en.srt | 13.4 KB |
| 06_fairness-bias-and-ethics.en.txt | 8.6 KB |
| 06_fairness-bias-and-ethics.mp4 | 25.3 MB |
| 01_error-metrics-for-skewed-datasets.en.srt | 17.0 KB |
| 01_error-metrics-for-skewed-datasets.en.txt | 8.9 KB |
| 01_error-metrics-for-skewed-datasets.mp4 | 19.0 MB |
| 02_trading-off-precision-and-recall.en.srt | 18.3 KB |
| 02_trading-off-precision-and-recall.en.txt | 9.6 KB |
| 02_trading-off-precision-and-recall.mp4 | 22.2 MB |
| 01_decision-tree-model.en.srt | 10.8 KB |
| 01_decision-tree-model.en.txt | 5.6 KB |
| 01_decision-tree-model.mp4 | 14.8 MB |
| 02_learning-process.en.srt | 18.0 KB |
| 02_learning-process.en.txt | 9.4 KB |
| 02_learning-process.mp4 | 29.0 MB |
| 01_measuring-purity.en.srt | 10.2 KB |
| 01_measuring-purity.en.txt | 5.4 KB |
| 01_measuring-purity.mp4 | 16.0 MB |
| 02_choosing-a-split-information-gain.en.srt | 17.4 KB |
| 02_choosing-a-split-information-gain.en.txt | 9.0 KB |
| 02_choosing-a-split-information-gain.mp4 | 23.8 MB |
| 03_putting-it-together.en.srt | 14.6 KB |
| 03_putting-it-together.en.txt | 7.8 KB |
| 03_putting-it-together.mp4 | 18.4 MB |
| 04_using-one-hot-encoding-of-categorical-features.en.srt | 6.6 KB |
| 04_using-one-hot-encoding-of-categorical-features.en.txt | 4.3 KB |
| 04_using-one-hot-encoding-of-categorical-features.mp4 | 14.2 MB |
| 05_continuous-valued-features.en.srt | 8.6 KB |
| 05_continuous-valued-features.en.txt | 5.5 KB |
| 05_continuous-valued-features.mp4 | 15.9 MB |
| 06_regression-trees-optional.en.srt | 12.2 KB |
| 06_regression-trees-optional.en.txt | 7.7 KB |
| 06_regression-trees-optional.mp4 | 18.9 MB |
| 01_using-multiple-decision-trees.en.srt | 6.4 KB |
| 01_using-multiple-decision-trees.en.txt | 3.4 KB |
| 01_using-multiple-decision-trees.mp4 | 12.5 MB |
| 02_sampling-with-replacement.en.srt | 6.5 KB |
| 02_sampling-with-replacement.en.txt | 3.4 KB |
| 02_sampling-with-replacement.mp4 | 14.3 MB |
| 03_random-forest-algorithm.en.srt | 8.7 KB |
| 03_random-forest-algorithm.en.txt | 5.6 KB |
| 03_random-forest-algorithm.mp4 | 12.7 MB |
| 04_xgboost.en.srt | 9.4 KB |
| 04_xgboost.en.txt | 6.0 KB |
| 04_xgboost.mp4 | 21.1 MB |
| 05_when-to-use-decision-trees.en.srt | 10.5 KB |
| 05_when-to-use-decision-trees.en.txt | 5.6 KB |
| 05_when-to-use-decision-trees.mp4 | 17.5 MB |
| 01_andrew-ng-and-chris-manning-on-natural-language-processing.en.srt | 63.9 KB |
| 01_andrew-ng-and-chris-manning-on-natural-language-processing.en.txt | 39.9 KB |
| 01_andrew-ng-and-chris-manning-on-natural-language-processing.mp4 | 236.2 MB |
| 01_acknowledgements_instructions.html | 5.3 KB |
| 01_welcome-to-machine-learning.en.srt | 3.9 KB |
| 01_welcome-to-machine-learning.en.txt | 2.4 KB |
| 01_welcome-to-machine-learning.mp4 | 22.2 MB |
| 02_applications-of-machine-learning.en.srt | 7.5 KB |
| 02_applications-of-machine-learning.en.txt | 3.9 KB |
| 02_applications-of-machine-learning.mp4 | 33.4 MB |
| 01_what-is-machine-learning.en.srt | 9.5 KB |
| 01_what-is-machine-learning.en.txt | 5.0 KB |
| 01_what-is-machine-learning.mp4 | 26.0 MB |
| 02_supervised-learning-part-1.en.srt | 10.8 KB |
| 02_supervised-learning-part-1.en.txt | 5.6 KB |
| 02_supervised-learning-part-1.mp4 | 13.9 MB |
| 03_supervised-learning-part-2.en.srt | 8.9 KB |
| 03_supervised-learning-part-2.en.txt | 5.5 KB |
| 03_supervised-learning-part-2.mp4 | 14.4 MB |
| 04_unsupervised-learning-part-1.en.srt | 11.6 KB |
| 04_unsupervised-learning-part-1.en.txt | 7.4 KB |
| 04_unsupervised-learning-part-1.mp4 | 18.7 MB |
| 05_unsupervised-learning-part-2.en.srt | 5.8 KB |
| 05_unsupervised-learning-part-2.en.txt | 3.1 KB |
| 05_unsupervised-learning-part-2.mp4 | 8.2 MB |
| 06_jupyter-notebooks.en.srt | 7.3 KB |
| 06_jupyter-notebooks.en.txt | 3.9 KB |
| 06_jupyter-notebooks.mp4 | 19.9 MB |
| 01_practice-quiz-supervised-vs-unsupervised-learning_exam.html | 1.9 KB |
| 01_linear-regression-model-part-1.en.srt | 14.8 KB |
| 01_linear-regression-model-part-1.en.txt | 7.6 KB |
| 01_linear-regression-model-part-1.mp4 | 20.3 MB |
| 02_linear-regression-model-part-2.en.srt | 9.6 KB |
| 02_linear-regression-model-part-2.en.txt | 5.0 KB |
| 02_linear-regression-model-part-2.mp4 | 16.2 MB |
| 03_cost-function-formula.en.srt | 11.9 KB |
| 03_cost-function-formula.en.txt | 6.2 KB |
| 03_cost-function-formula.mp4 | 16.7 MB |
| 04_cost-function-intuition.en.srt | 20.2 KB |
| 04_cost-function-intuition.en.txt | 10.2 KB |
| 04_cost-function-intuition.mp4 | 29.6 MB |
| 05_visualizing-the-cost-function.en.srt | 12.3 KB |
| 05_visualizing-the-cost-function.en.txt | 6.3 KB |
| 05_visualizing-the-cost-function.mp4 | 17.3 MB |
| 06_visualization-examples.en.srt | 8.7 KB |
| 06_visualization-examples.en.txt | 4.6 KB |
| 06_visualization-examples.mp4 | 17.2 MB |
| 01_practice-quiz-regression_exam.html | 2.6 KB |
| 01_gradient-descent.en.srt | 12.2 KB |
| 01_gradient-descent.en.txt | 6.4 KB |
| 01_gradient-descent.mp4 | 22.5 MB |
| 02_implementing-gradient-descent.en.srt | 14.2 KB |
| 02_implementing-gradient-descent.en.txt | 7.5 KB |
| 02_implementing-gradient-descent.mp4 | 20.9 MB |
| 03_gradient-descent-intuition.en.srt | 10.0 KB |
| 03_gradient-descent-intuition.en.txt | 5.3 KB |
| 03_gradient-descent-intuition.mp4 | 13.2 MB |
| 04_learning-rate.en.srt | 11.2 KB |
| 04_learning-rate.en.txt | 6.9 KB |
| 04_learning-rate.mp4 | 16.9 MB |
| 05_gradient-descent-for-linear-regression.en.srt | 9.1 KB |
| 05_gradient-descent-for-linear-regression.en.txt | 4.9 KB |
| 05_gradient-descent-for-linear-regression.mp4 | 16.4 MB |
| 06_running-gradient-descent.en.srt | 7.3 KB |
| 06_running-gradient-descent.en.txt | 4.6 KB |
| 06_running-gradient-descent.mp4 | 18.4 MB |
| 01_practice-quiz-train-the-model-with-gradient-descent_exam.html | 21.4 KB |
| 01_multiple-features.en.srt | 13.4 KB |
| 01_multiple-features.en.txt | 6.9 KB |
| 01_multiple-features.mp4 | 18.9 MB |
| 02_vectorization-part-1.en.srt | 9.7 KB |
| 02_vectorization-part-1.en.txt | 5.1 KB |
| 02_vectorization-part-1.mp4 | 17.3 MB |
| 03_vectorization-part-2.en.srt | 10.0 KB |
| 03_vectorization-part-2.en.txt | 5.3 KB |
| 03_vectorization-part-2.mp4 | 17.3 MB |
| 04_gradient-descent-for-multiple-linear-regression.en.srt | 11.1 KB |
| 04_gradient-descent-for-multiple-linear-regression.en.txt | 5.9 KB |
| 04_gradient-descent-for-multiple-linear-regression.mp4 | 19.4 MB |
| 01_practice-quiz-multiple-linear-regression_exam.html | 69.8 KB |
| 01_feature-scaling-part-1.en.srt | 7.6 KB |
| 01_feature-scaling-part-1.en.txt | 4.8 KB |
| 01_feature-scaling-part-1.mp4 | 13.6 MB |
| 02_feature-scaling-part-2.en.srt | 10.8 KB |
| 02_feature-scaling-part-2.en.txt | 5.6 KB |
| 02_feature-scaling-part-2.mp4 | 14.4 MB |
| 03_checking-gradient-descent-for-convergence.en.srt | 8.3 KB |
| 03_checking-gradient-descent-for-convergence.en.txt | 4.3 KB |
| 03_checking-gradient-descent-for-convergence.mp4 | 11.0 MB |
| 04_choosing-the-learning-rate.en.srt | 9.6 KB |
| 04_choosing-the-learning-rate.en.txt | 5.1 KB |
| 04_choosing-the-learning-rate.mp4 | 16.3 MB |
| 05_feature-engineering.en.srt | 4.9 KB |
| 05_feature-engineering.en.txt | 2.5 KB |
| 05_feature-engineering.mp4 | 7.8 MB |
| 06_polynomial-regression.en.srt | 9.4 KB |
| 06_polynomial-regression.en.txt | 5.0 KB |
| 06_polynomial-regression.mp4 | 22.8 MB |
| 01_practice-quiz-gradient-descent-in-practice_exam.html | 164.9 KB |
| 01_week-2-practice-lab-linear-regression_instructions.html | 2.6 KB |
| 01_motivations.en.srt | 12.7 KB |
| 01_motivations.en.txt | 7.8 KB |
| 01_motivations.mp4 | 21.0 MB |
| 02_logistic-regression.en.srt | 13.3 KB |
| 02_logistic-regression.en.txt | 7.0 KB |
| 02_logistic-regression.mp4 | 21.5 MB |
| 03_decision-boundary.en.srt | 14.1 KB |
| 03_decision-boundary.en.txt | 7.3 KB |
| 03_decision-boundary.mp4 | 18.9 MB |
| 01_practice-quiz-classification-with-logistic-regression_exam.html | 51.5 KB |
| 01_cost-function-for-logistic-regression.en.srt | 17.1 KB |
| 01_cost-function-for-logistic-regression.en.txt | 8.9 KB |
| 01_cost-function-for-logistic-regression.mp4 | 24.6 MB |
| 02_simplified-cost-function-for-logistic-regression.en.srt | 7.6 KB |
| 02_simplified-cost-function-for-logistic-regression.en.txt | 3.9 KB |
| 02_simplified-cost-function-for-logistic-regression.mp4 | 11.7 MB |
| 01_practice-quiz-cost-function-for-logistic-regression_exam.html | 77.0 KB |
| 01_gradient-descent-implementation.en.srt | 9.6 KB |
| 01_gradient-descent-implementation.en.txt | 5.0 KB |
| 01_gradient-descent-implementation.mp4 | 12.8 MB |
| 01_practice-quiz-gradient-descent-for-logistic-regression_exam.html | 102.1 KB |
| 01_the-problem-of-overfitting.en.srt | 18.3 KB |
| 01_the-problem-of-overfitting.en.txt | 9.6 KB |
| 01_the-problem-of-overfitting.mp4 | 24.0 MB |
| 02_addressing-overfitting.en.srt | 12.9 KB |
| 02_addressing-overfitting.en.txt | 6.9 KB |
| 02_addressing-overfitting.mp4 | 15.7 MB |
| 03_cost-function-with-regularization.en.srt | 11.3 KB |
| 03_cost-function-with-regularization.en.txt | 7.2 KB |
| 03_cost-function-with-regularization.mp4 | 17.1 MB |
| 04_regularized-linear-regression.en.srt | 12.0 KB |
| 04_regularized-linear-regression.en.txt | 6.4 KB |
| 04_regularized-linear-regression.mp4 | 19.8 MB |
| 05_regularized-logistic-regression.en.srt | 8.7 KB |
| 05_regularized-logistic-regression.en.txt | 4.7 KB |
| 05_regularized-logistic-regression.mp4 | 20.9 MB |
| 01_practice-quiz-the-problem-of-overfitting_exam.html | 89.8 KB |
| 01_week-3-practice-lab-logistic-regression_instructions.html | 1.1 KB |
| 01_andrew-ng-and-fei-fei-li-on-human-centered-ai.en.srt | 59.7 KB |
| 01_andrew-ng-and-fei-fei-li-on-human-centered-ai.en.txt | 30.7 KB |
| 01_andrew-ng-and-fei-fei-li-on-human-centered-ai.mp4 | 214.7 MB |
| 01_acknowledgments_instructions.html | 5.3 KB |
| 01_welcome.en.srt | 5.5 KB |
| 01_welcome.en.txt | 2.9 KB |
| 01_welcome.mp4 | 8.3 MB |
| 01_what-is-clustering.en.srt | 5.9 KB |
| 01_what-is-clustering.en.txt | 3.2 KB |
| 01_what-is-clustering.mp4 | 8.8 MB |
| 02_k-means-intuition.en.srt | 9.0 KB |
| 02_k-means-intuition.en.txt | 5.7 KB |
| 02_k-means-intuition.mp4 | 12.4 MB |
| 03_k-means-algorithm.en.srt | 14.2 KB |
| 03_k-means-algorithm.en.txt | 7.4 KB |
| 03_k-means-algorithm.mp4 | 19.8 MB |
| 04_optimization-objective.en.srt | 13.7 KB |
| 04_optimization-objective.en.txt | 8.6 KB |
| 04_optimization-objective.mp4 | 29.5 MB |
| 05_initializing-k-means.en.srt | 10.7 KB |
| 05_initializing-k-means.en.txt | 7.0 KB |
| 05_initializing-k-means.mp4 | 17.8 MB |
| 06_choosing-the-number-of-clusters.en.srt | 11.2 KB |
| 06_choosing-the-number-of-clusters.en.txt | 5.8 KB |
| 06_choosing-the-number-of-clusters.mp4 | 16.9 MB |
| 01_finding-unusual-events.en.srt | 14.5 KB |
| 01_finding-unusual-events.en.txt | 9.4 KB |
| 01_finding-unusual-events.mp4 | 26.3 MB |
| 02_gaussian-normal-distribution.en.srt | 15.0 KB |
| 02_gaussian-normal-distribution.en.txt | 7.9 KB |
| 02_gaussian-normal-distribution.mp4 | 20.9 MB |
| 03_anomaly-detection-algorithm.en.srt | 13.3 KB |
| 03_anomaly-detection-algorithm.en.txt | 8.4 KB |
| 03_anomaly-detection-algorithm.mp4 | 20.3 MB |
| 04_developing-and-evaluating-an-anomaly-detection-system.en.srt | 17.5 KB |
| 04_developing-and-evaluating-an-anomaly-detection-system.en.txt | 9.2 KB |
| 04_developing-and-evaluating-an-anomaly-detection-system.mp4 | 23.9 MB |
| 05_anomaly-detection-vs-supervised-learning.en.srt | 11.2 KB |
| 05_anomaly-detection-vs-supervised-learning.en.txt | 7.1 KB |
| 05_anomaly-detection-vs-supervised-learning.mp4 | 20.3 MB |
| 06_choosing-what-features-to-use.en.srt | 18.7 KB |
| 06_choosing-what-features-to-use.en.txt | 11.9 KB |
| 06_choosing-what-features-to-use.mp4 | 30.9 MB |
| 01_making-recommendations.en.srt | 7.2 KB |
| 01_making-recommendations.en.txt | 4.6 KB |
| 01_making-recommendations.mp4 | 20.4 MB |
| 02_using-per-item-features.en.srt | 12.6 KB |
| 02_using-per-item-features.en.txt | 7.8 KB |
| 02_using-per-item-features.mp4 | 23.5 MB |
| 03_collaborative-filtering-algorithm.en.srt | 18.8 KB |
| 03_collaborative-filtering-algorithm.en.txt | 10.0 KB |
| 03_collaborative-filtering-algorithm.mp4 | 31.0 MB |
| 04_binary-labels-favs-likes-and-clicks.en.srt | 10.6 KB |
| 04_binary-labels-favs-likes-and-clicks.en.txt | 6.7 KB |
| 04_binary-labels-favs-likes-and-clicks.mp4 | 19.8 MB |
| 01_mean-normalization.en.srt | 10.7 KB |
| 01_mean-normalization.en.txt | 6.7 KB |
| 01_mean-normalization.mp4 | 18.9 MB |
| 02_tensorflow-implementation-of-collaborative-filtering.en.srt | 15.4 KB |
| 02_tensorflow-implementation-of-collaborative-filtering.en.txt | 9.6 KB |
| 02_tensorflow-implementation-of-collaborative-filtering.mp4 | 35.9 MB |
| 03_finding-related-items.en.srt | 10.2 KB |
| 03_finding-related-items.en.txt | 5.4 KB |
| 03_finding-related-items.mp4 | 16.6 MB |
| 01_collaborative-filtering-vs-content-based-filtering.en.srt | 14.3 KB |
| 01_collaborative-filtering-vs-content-based-filtering.en.txt | 7.4 KB |
| 01_collaborative-filtering-vs-content-based-filtering.mp4 | 20.0 MB |
| 02_deep-learning-for-content-based-filtering.en.srt | 14.2 KB |
| 02_deep-learning-for-content-based-filtering.en.txt | 7.4 KB |
| 02_deep-learning-for-content-based-filtering.mp4 | 24.3 MB |
| 03_recommending-from-a-large-catalogue.en.srt | 10.2 KB |
| 03_recommending-from-a-large-catalogue.en.txt | 6.4 KB |
| 03_recommending-from-a-large-catalogue.mp4 | 18.0 MB |
| 04_ethical-use-of-recommender-systems.en.srt | 16.9 KB |
| 04_ethical-use-of-recommender-systems.en.txt | 9.0 KB |
| 04_ethical-use-of-recommender-systems.mp4 | 24.8 MB |
| 05_tensorflow-implementation-of-content-based-filtering.en.srt | 7.3 KB |
| 05_tensorflow-implementation-of-content-based-filtering.en.txt | 3.9 KB |
| 05_tensorflow-implementation-of-content-based-filtering.mp4 | 12.9 MB |
| 01_reducing-the-number-of-features-optional.en.srt | 18.1 KB |
| 01_reducing-the-number-of-features-optional.en.txt | 9.4 KB |
| 01_reducing-the-number-of-features-optional.mp4 | 26.7 MB |
| 02_pca-algorithm-optional.en.srt | 24.4 KB |
| 02_pca-algorithm-optional.en.txt | 12.8 KB |
| 02_pca-algorithm-optional.mp4 | 28.0 MB |
| 03_pca-in-code-optional.en.srt | 16.7 KB |
| 03_pca-in-code-optional.en.txt | 8.6 KB |
| 03_pca-in-code-optional.mp4 | 17.8 MB |
| 01_what-is-reinforcement-learning.en.srt | 12.5 KB |
| 01_what-is-reinforcement-learning.en.txt | 8.0 KB |
| 01_what-is-reinforcement-learning.mp4 | 31.0 MB |
| 02_mars-rover-example.en.srt | 10.3 KB |
| 02_mars-rover-example.en.txt | 5.3 KB |
| 02_mars-rover-example.mp4 | 12.7 MB |
| 03_the-return-in-reinforcement-learning.en.srt | 15.7 KB |
| 03_the-return-in-reinforcement-learning.en.txt | 8.2 KB |
| 03_the-return-in-reinforcement-learning.mp4 | 29.0 MB |
| 04_making-decisions-policies-in-reinforcement-learning.en.srt | 3.7 KB |
| 04_making-decisions-policies-in-reinforcement-learning.en.txt | 2.0 KB |
| 04_making-decisions-policies-in-reinforcement-learning.mp4 | 5.8 MB |
| 05_review-of-key-concepts.en.srt | 8.5 KB |
| 05_review-of-key-concepts.en.txt | 4.5 KB |
| 05_review-of-key-concepts.mp4 | 11.4 MB |
| 01_state-action-value-function-definition.en.srt | 13.5 KB |
| 01_state-action-value-function-definition.en.txt | 8.3 KB |
| 01_state-action-value-function-definition.mp4 | 19.8 MB |
| 02_state-action-value-function-example.en.srt | 6.8 KB |
| 02_state-action-value-function-example.en.txt | 4.3 KB |
| 02_state-action-value-function-example.mp4 | 14.6 MB |
| 03_bellman-equation.en.srt | 17.7 KB |
| 03_bellman-equation.en.txt | 9.2 KB |
| 03_bellman-equation.mp4 | 26.7 MB |
| 04_random-stochastic-environment-optional.en.srt | 13.1 KB |
| 04_random-stochastic-environment-optional.en.txt | 6.9 KB |
| 04_random-stochastic-environment-optional.mp4 | 19.3 MB |
| 01_example-of-continuous-state-space-applications.en.srt | 9.7 KB |
| 01_example-of-continuous-state-space-applications.en.txt | 5.0 KB |
| 01_example-of-continuous-state-space-applications.mp4 | 27.0 MB |
| 02_lunar-lander.en.srt | 7.8 KB |
| 02_lunar-lander.en.txt | 4.9 KB |
| 02_lunar-lander.mp4 | 10.4 MB |
| 03_learning-the-state-value-function.en.srt | 25.2 KB |
| 03_learning-the-state-value-function.en.txt | 12.9 KB |
| 03_learning-the-state-value-function.mp4 | 31.1 MB |
| 04_algorithm-refinement-improved-neural-network-architecture.en.srt | 4.7 KB |
| 04_algorithm-refinement-improved-neural-network-architecture.en.txt | 2.5 KB |
| 04_algorithm-refinement-improved-neural-network-architecture.mp4 | 7.8 MB |
| 05_algorithm-refinement-greedy-policy.en.srt | 14.2 KB |
| 05_algorithm-refinement-greedy-policy.en.txt | 7.5 KB |
| 05_algorithm-refinement-greedy-policy.mp4 | 25.3 MB |
| 06_algorithm-refinement-mini-batch-and-soft-updates-optional.en.srt | 17.7 KB |
| 06_algorithm-refinement-mini-batch-and-soft-updates-optional.en.txt | 9.4 KB |
| 06_algorithm-refinement-mini-batch-and-soft-updates-optional.mp4 | 25.6 MB |
| 07_the-state-of-reinforcement-learning.en.srt | 4.0 KB |
| 07_the-state-of-reinforcement-learning.en.txt | 2.6 KB |
| 07_the-state-of-reinforcement-learning.mp4 | 7.9 MB |
| 01_summary-and-thank-you.en.srt | 5.3 KB |
| 01_summary-and-thank-you.en.txt | 2.8 KB |
| 01_summary-and-thank-you.mp4 | 13.9 MB |
| 01_andrew-ng-and-chelsea-finn-on-ai-and-robotics.en.srt | 50.6 KB |
| 01_andrew-ng-and-chelsea-finn-on-ai-and-robotics.en.txt | 31.7 KB |
| 01_andrew-ng-and-chelsea-finn-on-ai-and-robotics.mp4 | 230.7 MB |
| 01_acknowledgments_instructions.html | 5.3 KB |
| 02_optional-opportunity-to-mentor-other-learners_instructions.html | 1.7 KB |
Name
DL
Uploader
Size
S/L
Added
-
1.4 GB
[49
/
37]
2024-05-03
| Uploaded by SunRiseZone | Size 1.4 GB | Health [ 49 /37 ] | Added 2024-05-03 |
-
1.2 GB
[13
/
3]
2023-09-28
| Uploaded by FreeCourseWeb | Size 1.2 GB | Health [ 13 /3 ] | Added 2023-09-28 |
-
3.5 GB
[27
/
3]
2023-07-06
| Uploaded by FreeCourseWeb | Size 3.5 GB | Health [ 27 /3 ] | Added 2023-07-06 |
-
881.1 MB
[4
/
8]
2023-06-02
| Uploaded by SunRiseZone | Size 881.1 MB | Health [ 4 /8 ] | Added 2023-06-02 |
NOTE
SOURCE: Coursera Machine Learning Specialization by DeepLearning AI DevCourseWeb
-----------------------------------------------------------------------------------
COVER
-----------------------------------------------------------------------------------
MEDIAINFO
None
×