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Udacity - Deep Learning Foundation V1.0.0
TORRENT SUMMARY
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Deep learning is driving advances in artificial intelligence that are changing our world. Enroll now to build and apply your own deep neural networks to challenges like image classification and generation, time-series prediction, and model deployment.
Why Take This Program? In this program, you’ll cover Convolutional and Recurrent Neural Networks, Generative Adversarial Networks, Deployment, and more. You’ll use PyTorch, and have access to GPUs to train models faster. You'll learn from authorities like Sebastian Thrun, Ian Goodfellow, Jun-Yan Zhu, and Andrew Trask. This is the ideal point-of-entry into the field of AI.
Expert Instructors Learn practical skills taught by deep learning experts including Sebastian Thrun, Ian Goodfellow, Jun-Yan-Zhu, Andrew Trask, and the Udacity Deep Learning Team.
Unique Projects, Personalized Feedback Work on five specially-designed deep learning projects, and receive detailed feedback on each from our mentors
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FILE LIST
Filename
Size
Part 01-Module 02-Lesson 01_Regression/01. Welcome to Week One-10M2DnJuziE.en-US.vtt
756 B
Part 01-Module 02-Lesson 01_Regression/01. Welcome to Week One-10M2DnJuziE.pt-BR.vtt
719 B
Part 01-Module 02-Lesson 01_Regression/01. Welcome to Week One-10M2DnJuziE.zh-CN.vtt
670 B
Part 01-Module 03-Lesson 02_Intro to Neural Networks/01. Introducing Luis-nto-stLuN6M.en-US.vtt
608 B
Part 01-Module 03-Lesson 02_Intro to Neural Networks/01. Introducing Luis-nto-stLuN6M.pt-BR.vtt
592 B
Part 01-Module 03-Lesson 02_Intro to Neural Networks/01. Introducing Luis-nto-stLuN6M.zh-CN.vtt
535 B
Part 02-Module 03-Lesson 01_MiniFlow/07. Pixels are Features!-qE5YYXtPq9U.en-US.vtt
72 B
Part 02-Module 03-Lesson 01_MiniFlow/07. Pixels are Features!-qE5YYXtPq9U.pt-BR.vtt
91 B
Part 02-Module 04-Lesson 02_Intro to TensorFlow/01. Intro to Vincent-0_M6a04ofz8.zh-CN.vtt
790 B
Part 02-Module 04-Lesson 02_Intro to TensorFlow/13. 13 L One Hot Encoding-phYsxqlilUk.en.vtt
707 B
Part 02-Module 04-Lesson 02_Intro to TensorFlow/13. 13 L One Hot Encoding-phYsxqlilUk.pt-BR.vtt
657 B
Part 02-Module 04-Lesson 02_Intro to TensorFlow/13. 13 L One Hot Encoding-phYsxqlilUk.zh-CN.vtt
607 B
Part 02-Module 04-Lesson 02_Intro to TensorFlow/17. 17 L Transition Into Practical Aspects Of Learning-bKqkRFOOKoA.en-US.vtt
793 B
Part 02-Module 04-Lesson 02_Intro to TensorFlow/17. 17 L Transition Into Practical Aspects Of Learning-bKqkRFOOKoA.pt-BR.vtt
707 B
Part 02-Module 04-Lesson 02_Intro to TensorFlow/17. 17 L Transition Into Practical Aspects Of Learning-bKqkRFOOKoA.zh-CN.vtt
709 B
Part 02-Module 04-Lesson 02_Intro to TensorFlow/18. Numerical Stability-_SbGcOS-jcQ.en-US.vtt
764 B
Part 02-Module 04-Lesson 02_Intro to TensorFlow/18. Numerical Stability-_SbGcOS-jcQ.zh-CN.vtt
663 B
Part 02-Module 04-Lesson 02_Intro to TensorFlow/21. 29 L Optimizing A Logistic Classifier-U_7nO1dm2tY.pt-BR.vtt
769 B
Part 02-Module 04-Lesson 02_Intro to TensorFlow/21. 29 L Optimizing A Logistic Classifier-U_7nO1dm2tY.zh-CN.vtt
777 B
Part 02-Module 05-Lesson 01_Deep Neural Networks/10. Regularization-Quiz-E0eEW6V0_sA.en-US.vtt
638 B
Part 02-Module 05-Lesson 01_Deep Neural Networks/10. Regularization-Quiz-E0eEW6V0_sA.pt-BR.vtt
643 B
Part 02-Module 05-Lesson 01_Deep Neural Networks/10. Regularization-Quiz-E0eEW6V0_sA.zh-CN.vtt
557 B
Part 02-Module 05-Lesson 02_Convolutional Networks/01. Intro to CNNs-B61jxZ4rkMs.en-US.vtt
309 B
Part 02-Module 05-Lesson 02_Convolutional Networks/01. Intro to CNNs-B61jxZ4rkMs.en.vtt
303 B
Part 02-Module 05-Lesson 02_Convolutional Networks/01. Intro to CNNs-B61jxZ4rkMs.ja-JP.vtt
477 B
Part 02-Module 05-Lesson 02_Convolutional Networks/01. Intro to CNNs-B61jxZ4rkMs.pt-BR.vtt
324 B
Part 02-Module 05-Lesson 02_Convolutional Networks/01. Intro to CNNs-B61jxZ4rkMs.zh-CN.vtt
301 B
Part 02-Module 05-Lesson 02_Convolutional Networks/02. Color-Question-BdQccpMwk80.en.vtt
739 B
Part 02-Module 05-Lesson 02_Convolutional Networks/02. Color-Question-BdQccpMwk80.pt-BR.vtt
683 B
Part 02-Module 05-Lesson 02_Convolutional Networks/02. Color-Question-BdQccpMwk80.zh-CN.vtt
612 B
Part 02-Module 05-Lesson 02_Convolutional Networks/07. Feature-Map-Sizes-Question-lp1NrLZnCUM.en.vtt
594 B
Part 02-Module 05-Lesson 02_Convolutional Networks/07. Feature-Map-Sizes-Question-lp1NrLZnCUM.pt-BR.vtt
663 B
Part 02-Module 05-Lesson 02_Convolutional Networks/07. Feature-Map-Sizes-Question-lp1NrLZnCUM.zh-CN.vtt
555 B
Part 03-Module 04-Lesson 04_Generate TV Scripts/01. Project-3-Intro-qNpv7IjQzo0.en-US.vtt
701 B
Part 03-Module 04-Lesson 04_Generate TV Scripts/01. Project-3-Intro-qNpv7IjQzo0.en.vtt
667 B
Part 03-Module 04-Lesson 04_Generate TV Scripts/01. Project-3-Intro-qNpv7IjQzo0.pt-BR.vtt
720 B
Part 03-Module 04-Lesson 04_Generate TV Scripts/01. Project-3-Intro-qNpv7IjQzo0.zh-CN.vtt
640 B
Part 04-Module 02-Lesson 04_Generate Faces/01. Last Project - Congrats-UUqU8SYBZ9Q.en.vtt
792 B
Part 04-Module 02-Lesson 04_Generate Faces/01. Last Project - Congrats-UUqU8SYBZ9Q.zh-CN.vtt
764 B
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.en.vtt
420 B
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.pt-BR.vtt
364 B
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.zh-CN.vtt
390 B
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/13. Error Functions-YfUUunxWIJw.en.vtt
790 B
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/13. Error Functions-YfUUunxWIJw.pt-BR.vtt
804 B
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/13. Error Functions-YfUUunxWIJw.zh-CN.vtt
739 B
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/15. Discrete vs Continuous-rdP-RPDFkl0.en.vtt
551 B
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/15. Discrete vs Continuous-rdP-RPDFkl0.pt-BR.vtt
584 B
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/15. Discrete vs Continuous-rdP-RPDFkl0.zh-CN.vtt
481 B
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/16. Quiz - Softmax-NNoezNnAMTY.en.vtt
495 B
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/16. Quiz - Softmax-NNoezNnAMTY.pt-BR.vtt
501 B
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/16. Quiz - Softmax-NNoezNnAMTY.zh-CN.vtt
548 B
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/21. Formula For Cross 1-qvr_ego_d6w.en.vtt
607 B
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/21. Formula For Cross 1-qvr_ego_d6w.pt-BR.vtt
719 B
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/21. Formula For Cross 1-qvr_ego_d6w.zh-CN.vtt
545 B
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/30. Non-Linear Data-F7ZiE8PQiSc.en.vtt
633 B
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/30. Non-Linear Data-F7ZiE8PQiSc.pt-BR.vtt
600 B
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/30. Non-Linear Data-F7ZiE8PQiSc.zh-CN.vtt
624 B
Part 07-Module 01-Lesson 03_Training Neural Networks/10. Random Restart-idyBBCzXiqg.en.vtt
466 B
Part 07-Module 01-Lesson 03_Training Neural Networks/10. Random Restart-idyBBCzXiqg.pt-BR.vtt
478 B
Part 07-Module 01-Lesson 03_Training Neural Networks/10. Random Restart-idyBBCzXiqg.zh-CN.vtt
419 B
Part 07-Module 01-Lesson 04_Sentiment Analysis/01. Introducing Andrew Trask-ltO71Bm8b3M.en.vtt
746 B
Part 07-Module 01-Lesson 04_Sentiment Analysis/01. Introducing Andrew Trask-ltO71Bm8b3M.zh-CN.vtt
685 B
Part 07-Module 01-Lesson 05_Keras/06. Keras Lab-a50un22BsLI.en.vtt
586 B
Part 07-Module 01-Lesson 05_Keras/06. Keras Lab-a50un22BsLI.pt-BR.vtt
574 B
Part 07-Module 01-Lesson 05_Keras/06. Keras Lab-a50un22BsLI.zh-CN.vtt
540 B
Part 07-Module 01-Lesson 06_TensorFlow/17. Conclusion-wOiUQDgGD9E.en.vtt
725 B
Part 07-Module 01-Lesson 06_TensorFlow/17. Conclusion-wOiUQDgGD9E.zh-CN.vtt
655 B
Part 08-Module 01-Lesson 04_Convolutional Neural Networks/01. Introducing Alexis-38ExGpdyvJI.en.vtt
694 B
Part 08-Module 01-Lesson 04_Convolutional Neural Networks/01. Introducing Alexis-38ExGpdyvJI.pt-BR.vtt
599 B
Part 08-Module 01-Lesson 04_Convolutional Neural Networks/01. Introducing Alexis-38ExGpdyvJI.zh-CN.vtt
615 B
Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/07. 07 Quiz Data Challenges V1-F8yc7BlV93c.en.vtt
526 B
Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/07. 07 Quiz Data Challenges V1-F8yc7BlV93c.pt-BR.vtt
482 B
Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/07. 07 Quiz Data Challenges V1-F8yc7BlV93c.zh-CN.vtt
468 B
Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/08. Solution Data Challenges-1z3o4niQuNg.pt-BR.vtt
730 B
Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/08. Solution Data Challenges-1z3o4niQuNg.zh-CN.vtt
810 B
Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.pt-BR.vtt
754 B
Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.zh-CN.vtt
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Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.en.vtt
505 B
Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.pt-BR.vtt
420 B
Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.zh-CN.vtt
487 B
Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/14. Solution Sensitivty And Specificity-GBZjyeMjKxc.pt-BR.vtt
772 B
Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/14. Solution Sensitivty And Specificity-GBZjyeMjKxc.zh-CN.vtt
766 B
Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.en.vtt
508 B
Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.pt-BR.vtt
472 B
Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.zh-CN.vtt
456 B
Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.en.vtt
791 B
Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.pt-BR.vtt
678 B
Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.zh-CN.vtt
729 B
Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/20. Solution ROC Curve-sdUUf6RRmXI.pt-BR.vtt
643 B
Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/28. Mini Project Introduction-Rgf3YVFWl-M.en.vtt
510 B
Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/28. Mini Project Introduction-Rgf3YVFWl-M.pt-BR.vtt
538 B
Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/28. Mini Project Introduction-Rgf3YVFWl-M.zh-CN.vtt
475 B
Part 09-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/07. Remember Gate-0qlm86HaXuU.en.vtt
734 B
Part 09-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/07. Remember Gate-0qlm86HaXuU.pt-BR.vtt
700 B
Part 09-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/07. Remember Gate-0qlm86HaXuU.zh-CN.vtt
632 B
Part 11-Module 01-Lesson 02_The RL Framework The Problem/01. Introduction-X_9l_ZqXXBA.zh-CN.vtt
718 B
Part 11-Module 01-Lesson 10_Policy-Based Methods/01. M2L3 01 V1-YOSREyp04HA.zh-CN.vtt
787 B
Part 11-Module 01-Lesson 10_Policy-Based Methods/06. M2L3 06 V1-RMjdQkl6CqE.zh-CN.vtt
