[CourseClub.Me] Udacity - Artificial Intelligence Nanodegree and Specializations v1.0.0

Part 09-Module 08-Lesson 01_Embeddings and Word2Vec/03. Implementing Word2Vec-7M431_f9HgE.mp4

Part 08-Module 07-Lesson 01_Sentiment Analysis/13. Mini Project 3 Solution-imnxzCev4SI.mp4

Part 09-Module 06-Lesson 01_Sentiment Analysis with Andrew Trask/12. Mini Project 3 Solution-imnxzCev4SI.mp4

Part 09-Module 08-Lesson 01_Embeddings and Word2Vec/10. Training Results-uISA5ns47s8.mp4

Part 08-Module 07-Lesson 01_Sentiment Analysis/14. Understanding Neural Noise-ubqhh4Iv7O4.mp4

Part 09-Module 06-Lesson 01_Sentiment Analysis with Andrew Trask/13. Understanding Neural Noise-ubqhh4Iv7O4.mp4

Part 01-Module 02-Lesson 02_Advanced Game Playing/17. Solving 5x5 Isolation-IawyLVnyFf8.mp4

Part 01-Module 02-Lesson 04_Search/41. Peter's Take on AI-klwnKuusFhw.mp4

Part 08-Module 07-Lesson 01_Sentiment Analysis/21. Mini Project 6 Solution-ji0famK7gOQ.mp4

Part 09-Module 06-Lesson 01_Sentiment Analysis with Andrew Trask/20. Mini Project 6 Solution-ji0famK7gOQ.mp4

Part 08-Module 04-Lesson 01_Applying Deep Learning Models/02. Navegação de tráfico 3-az5ElmV4DhY.mp4

Part 08-Module 02-Lesson 03_RNN's/10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.mp4

Part 09-Module 04-Lesson 01_Recurrent Neural Networks/10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.mp4

Part 08-Module 02-Lesson 03_RNN's/25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.mp4

Part 09-Module 04-Lesson 01_Recurrent Neural Networks/25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.mp4

Part 08-Module 02-Lesson 03_RNN's/08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.mp4

Part 09-Module 04-Lesson 01_Recurrent Neural Networks/08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.mp4

Part 08-Module 05-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.mp4

Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.mp4

Part 08-Module 07-Lesson 01_Sentiment Analysis/22. Analysis What's Going on in the Weights-UHsT35pbpcE.mp4

Part 09-Module 06-Lesson 01_Sentiment Analysis with Andrew Trask/21. Analysis What's Going on in the Weights-UHsT35pbpcE.mp4

Part 07-Module 01-Lesson 01_Develop Your Personal Brand/04. Meet Chris-0ccflD9x5WU.mp4

Part 01-Module 03-Lesson 01_Logic and Reasoning/02. Background and Expert Systems-OAYRXkHn9PQ.mp4

Part 02-Module 08-Lesson 03_Intro to Natural Language Processing/09. NLP H 8-LMvKyA3ZBZE.mp4

Part 04-Module 01-Lesson 02_Intro to Natural Language Processing/09. NLP H 8-LMvKyA3ZBZE.mp4

Part 08-Module 07-Lesson 01_Sentiment Analysis/18. Mini Project 5 Solution-Hv86B_jjWTI.mp4

Part 09-Module 06-Lesson 01_Sentiment Analysis with Andrew Trask/17. Mini Project 5 Solution-Hv86B_jjWTI.mp4

Part 08-Module 05-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.mp4

Part 02-Module 08-Lesson 03_Intro to Natural Language Processing/08. Applications of NLP-33dq-H6U4AI.mp4

Part 04-Module 01-Lesson 02_Intro to Natural Language Processing/08. Applications of NLP-33dq-H6U4AI.mp4

Part 08-Module 05-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.mp4

Part 08-Module 02-Lesson 03_RNN's/06. 07 FeedForward B V3-kTYbTVh1d0k.mp4

Part 09-Module 04-Lesson 01_Recurrent Neural Networks/06. 07 FeedForward B V3-kTYbTVh1d0k.mp4

Part 08-Module 09-Lesson 06_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.mp4

Part 08-Module 02-Lesson 03_RNN's/05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.mp4

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

Part 07-Module 02-Lesson 01_GitHub Review/13. Interview with Art - Part 3-M6PKr3S1rPg.mp4

Part 08-Module 05-Lesson 03_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.mp4

Part 08-Module 07-Lesson 01_Sentiment Analysis/07. Mini Project 1 Solution-l4r5l0HvHRI.mp4

Part 09-Module 06-Lesson 01_Sentiment Analysis with Andrew Trask/06. Mini Project 1 Solution-l4r5l0HvHRI.mp4

Part 01-Module 04-Lesson 04_Hidden Markov Models/34. HMM Topologies-m13mWH6vFR8.mp4

Part 08-Module 02-Lesson 03_RNN's/03. 02 RNN History V4 Final-HbxAnYUfRnc.mp4

Part 09-Module 04-Lesson 01_Recurrent Neural Networks/03. 02 RNN History V4 Final-HbxAnYUfRnc.mp4

Part 02-Module 08-Lesson 04_Intro to Voice User Interfaces/05. Conversational AI with Alexa-1EU8jusdLZI.mp4

Part 05-Module 01-Lesson 02_Intro to Voice User Interfaces/05. Conversational AI with Alexa-1EU8jusdLZI.mp4

Part 01-Module 04-Lesson 01_Probability/02. 01 - Intro To Probability And Bayes Nets-V-ngFH2nakU.mp4

Part 08-Module 07-Lesson 01_Sentiment Analysis/02. Andrew Trask - Intro-da1I0mea1jQ.mp4

Part 09-Module 06-Lesson 01_Sentiment Analysis with Andrew Trask/01. Andrew Trask - Intro-da1I0mea1jQ.mp4

Part 08-Module 01-Lesson 01_Image Representation Classification/30. Nd113 C7 46 L Evaluation Metrics-fDN4D1QV674.mp4

Part 04-Module 03-Lesson 01_Embeddings and Word2Vec/03. Implementing Word2Vec-7M431_f9HgE.mp4