[UdemyCourseDownloader] Deep Learning Foundation Nanodegree

Part 03-Module 02-Lesson 03_Q&A with FloydHub Founders/01. Floyd QA-KUc59DPfBeo.mp4

Part 01-Module 02-Lesson 01_Regression/03. Siraj's Intro to Deep Learning - How to Make a Prediction-QN1ZwKszguE.mp4

Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask/12. Mini Project 3 Solution-imnxzCev4SI.mp4

Part 07-Module 01-Lesson 04_Sentiment Analysis/13. Mini Project 3 Solution-imnxzCev4SI.mp4

Part 03-Module 07-Lesson 02_Siraj's Reinforcement Learning/01. How to Win Slot Machines - Intro to Deep Learning #13-AIeWLTUYLZQ.mp4

Part 03-Module 08-Lesson 01_Siraj's Image Generation/01. How to Generate Images - Intro to Deep Learning #14-3-UDwk1U77s.mp4

Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask/13. Understanding Neural Noise-ubqhh4Iv7O4.mp4

Part 07-Module 01-Lesson 04_Sentiment Analysis/14. Understanding Neural Noise-ubqhh4Iv7O4.mp4

Part 11-Module 01-Lesson 09_Deep Q-Learning/07. Experience Replay-wX_-SZG-YMQ.mp4

Part 03-Module 06-Lesson 02_Siraj's Chatbot/01. How to Make a Chatbot - Intro to Deep Learning #12-t5qgjJIBy9g.mp4

Part 04-Module 01-Lesson 02_Siraj's Video Generation/01. How to Generate Video - Intro to Deep Learning #15--E2N1kQc8MM.mp4

Part 11-Module 01-Lesson 10_Policy-Based Methods/07. M2L3 07 V2-ZBLLGIN1EfU.mp4

Part 03-Module 03-Lesson 02_Siraj's Music Generation/01. How to Generate Music - Intro to Deep Learning #9-4DMm5Lhey1U.mp4

Part 03-Module 02-Lesson 02_Siraj's Style Transfer/01. How to Generate Art - Intro to Deep Learning #8-Oex0eWoU7AQ.mp4

Part 02-Module 05-Lesson 03_Siraj's Image Classification/02. How to Make an Image Classifier - Intro to Deep Learning #6-cAICT4Al5Ow.mp4

Part 03-Module 01-Lesson 02_Siraj's Stock Prediction/01. How to Predict Stock Prices Easily - Intro to Deep Learning #7-ftMq5ps503w.mp4

Part 11-Module 01-Lesson 09_Deep Q-Learning/10. DQN Improvements-Zfdbp93A2GU.mp4

Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask/20. Mini Project 6 Solution-ji0famK7gOQ.mp4

Part 07-Module 01-Lesson 04_Sentiment Analysis/21. Mini Project 6 Solution-ji0famK7gOQ.mp4

Part 01-Module 01-Lesson 04_Applying Deep Learning/03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.mp4

Part 06-Module 01-Lesson 02_Applying Deep Learning/03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.mp4

Part 09-Module 01-Lesson 01_Recurrent Neural Networks/10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.mp4

Part 03-Module 05-Lesson 02_Siraj's Language Translation/01. How to Make a Language Translator - Intro to Deep Learning #11-nRBnh4qbPHI.mp4

Part 03-Module 04-Lesson 01_Siraj's Text Summarization/01. How to Make a Text Summarizer - Intro to Deep Learning #10-ogrJaOIuBx4.mp4

Part 09-Module 01-Lesson 01_Recurrent Neural Networks/25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.mp4

Part 04-Module 02-Lesson 01_Siraj's One-Shot Learning/01. How to Learn from Little Data - Intro to Deep Learning #17-tChcZpBbTTA.mp4

Part 09-Module 01-Lesson 01_Recurrent Neural Networks/08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.mp4

Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask/21. Analysis What's Going on in the Weights-UHsT35pbpcE.mp4

Part 07-Module 01-Lesson 04_Sentiment Analysis/22. Analysis What's Going on in the Weights-UHsT35pbpcE.mp4

Part 11-Module 01-Lesson 05_Monte Carlo Methods/03. MC Prediction State Values-0q2wSWyuBj8.mp4

Part 11-Module 01-Lesson 08_RL in Continuous Spaces/01. Deep Reinforcement Learning-GPjK124RU5g.mp4

Part 11-Module 01-Lesson 10_Policy-Based Methods/02. M2L3 02 V2-ToS8vXGdODE.mp4

Part 11-Module 01-Lesson 04_Dynamic Programming/14. Policy Improvement-4_adUEK0IHg.mp4

Part 11-Module 01-Lesson 06_Temporal-Difference Methods/03. TD Prediction TD(0)-CsD6b0csU7o.mp4

Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask/17. Mini Project 5 Solution-Hv86B_jjWTI.mp4

Part 07-Module 01-Lesson 04_Sentiment Analysis/18. Mini Project 5 Solution-Hv86B_jjWTI.mp4

Part 11-Module 01-Lesson 08_RL in Continuous Spaces/11. Linear Function Approximation-OJ5wrB7o-pI.mp4

Part 11-Module 01-Lesson 04_Dynamic Programming/05. An Iterative Method-AX-hG3KvwzY.mp4

Part 03-Module 03-Lesson 02_Siraj's Music Generation/02. How to Succeed in any Programming Interview-5KB5KAak6tM.mp4

Part 09-Module 01-Lesson 01_Recurrent Neural Networks/06. 07 FeedForward B V3-kTYbTVh1d0k.mp4

Part 11-Module 01-Lesson 04_Dynamic Programming/08. Iterative Policy Evaluation-eDXIL_oOJHI.mp4

Part 09-Module 01-Lesson 01_Recurrent Neural Networks/05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.mp4

Part 11-Module 01-Lesson 09_Deep Q-Learning/06. Deep Q Network-GgtR_d1OB-M.mp4

Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask/06. Mini Project 1 Solution-l4r5l0HvHRI.mp4

Part 07-Module 01-Lesson 04_Sentiment Analysis/07. Mini Project 1 Solution-l4r5l0HvHRI.mp4

Part 09-Module 01-Lesson 01_Recurrent Neural Networks/03. 02 RNN History V4 Final-HbxAnYUfRnc.mp4

Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask/02. Andrew Trask - Intro-da1I0mea1jQ.mp4

Part 07-Module 01-Lesson 04_Sentiment Analysis/02. Andrew Trask - Intro-da1I0mea1jQ.mp4

Part 03-Module 02-Lesson 01_Embeddings and Word2vec/02. Implementing Word2Vec-7M431_f9HgE.mp4

Part 09-Module 01-Lesson 05_Embeddings and Word2vec/02. Implementing Word2Vec-7M431_f9HgE.mp4