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Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/03. Implementing Word2Vec-7M431_f9HgE.mp4 156.9 MBPart 10-Module 01-Lesson 02_Sentiment Prediction RNN/02. Sentiment Prediction-uGN3rZJRiMY.mp4 66.4 MBPart 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/12. Mini Project 3 Solution-imnxzCev4SI.mp4 57.2 MBPart 12-Module 01-Lesson 01_Embeddings and Word2Vec/10. Training Results-uISA5ns47s8.mp4 54.6 MBPart 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/13. Understanding Neural Noise-ubqhh4Iv7O4.mp4 52.7 MBPart 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/20. Mini Project 6 Solution-ji0famK7gOQ.mp4 41.0 MBPart 08-Module 01-Lesson 01_Recurrent Neural Networks/10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.mp4 38.9 MBPart 06-Module 01-Lesson 05_Deep Learning Attention/01. 01 Introduction To Attention V2-NCn97L5WbCY.mp4 38.4 MBPart 08-Module 01-Lesson 01_Recurrent Neural Networks/25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.mp4 37.9 MBPart 08-Module 01-Lesson 01_Recurrent Neural Networks/08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.mp4 36.5 MBPart 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/21. Analysis What's Going on in the Weights-UHsT35pbpcE.mp4 35.3 MBPart 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.mp4 34.1 MBPart 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/17. Mini Project 5 Solution-Hv86B_jjWTI.mp4 30.3 MBPart 08-Module 01-Lesson 01_Recurrent Neural Networks/06. 07 FeedForward B V3-kTYbTVh1d0k.mp4 27.9 MBPart 08-Module 01-Lesson 01_Recurrent Neural Networks/05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.mp4 27.0 MBPart 05-Module 02-Lesson 03_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.mp4 26.3 MBPart 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/06. Mini Project 1 Solution-l4r5l0HvHRI.mp4 26.0 MBPart 08-Module 01-Lesson 01_Recurrent Neural Networks/03. 02 RNN History V4 Final-HbxAnYUfRnc.mp4 25.4 MBPart 03-Module 01-Lesson 01_Voice User Interfaces/04. Conversational AI with Alexa-1EU8jusdLZI.mp4 25.3 MBPart 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/01. Andrew Trask - Intro-da1I0mea1jQ.mp4 25.1 MBPart 10-Module 01-Lesson 02_Sentiment Prediction RNN/07. Sentiment RNN 2-V9YGGjmoHS0.mp4 24.2 MBPart 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/18. Further Noise Reduction-Kl3hWxizKVg.mp4 23.4 MBPart 08-Module 01-Lesson 01_Recurrent Neural Networks/16. 18 RNN Example V5 Final-MDLk3fhpTx0.mp4 23.2 MBPart 05-Module 02-Lesson 03_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.mp4 22.8 MBPart 08-Module 01-Lesson 01_Recurrent Neural Networks/17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.mp4 22.6 MBPart 07-Module 01-Lesson 03_Speech Recognition/01. Introduction to Speech Recognition-EcsLCpnGBGs.mp4 22.4 MBPart 08-Module 01-Lesson 01_Recurrent Neural Networks/13. 16 RNN B V4 Final-wsif3p5t7CI.mp4 22.1 MBPart 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.mp4 22.1 MBPart 08-Module 01-Lesson 01_Recurrent Neural Networks/02. 01 RNN Intro V6 Final-AIQEqg6F38A.mp4 21.9 MBPart 05-Module 02-Lesson 02_Jobs in NLP/02. Meet the Careers Team-cuKecPpZ7PM.mp4 21.8 MBPart 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/15. Understanding Inefficiencies in our Network-4MuS-6ATxCU.mp4 21.7 MBPart 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.mp4 21.6 MBPart 08-Module 01-Lesson 01_Recurrent Neural Networks/05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.mp4 20.6 MBPart 05-Module 01-Lesson 05_Text Processing/07. Cleaning-qawXp9DPV6I.mp4 20.5 MBPart 10-Module 01-Lesson 02_Sentiment Prediction RNN/05. Building The RNN 1-XTD6slf64fM.mp4 20.0 MBPart 06-Module 01-Lesson 04_Sequence to Sequence/03. Jay's Introduction-HPOzAlXhuxQ.mp4 19.9 MBPart 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.mp4 19.5 MBPart 03-Module 01-Lesson 01_Voice User Interfaces/01. Welcome-zYDIgmGo4Xc.mp4 19.0 MBPart 07-Module 01-Lesson 01_Intro to Voice User Interfaces/01. Welcome-zYDIgmGo4Xc.mp4 19.0 MBPart 08-Module 01-Lesson 01_Recurrent Neural Networks/18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.mp4 19.0 MBPart 08-Module 01-Lesson 01_Recurrent Neural Networks/06. 06 FeedForward A V7 Final-4rCfnWbx8-0.mp4 18.6 MBPart 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/04. Framing the Problem-IsTOnkAKaJw.mp4 18.5 MBPart 08-Module 01-Lesson 01_Recurrent Neural Networks/04. 03 RNN Applications V3 Final-6JbTNARuKII.mp4 18.1 MBPart 08-Module 01-Lesson 01_Recurrent Neural Networks/19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.mp4 18.1 MBPart 01-Module 01-Lesson 01_Welcome to Natural Language Processing/05. Natural Language Processing-sQiURKPFXNM.mp4 16.2 MBPart 08-Module 01-Lesson 01_Recurrent Neural Networks/09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.mp4 15.5 MBPart 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/02. RNN Vs LSTM-70MgF-IwAr8.mp4 15.4 MBPart 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.mp4 15.1 MBPart 05-Module 01-Lesson 01_Welcome to Natural Language Processing/01. Intro NLP-6myHs4e71Ys.mp4 14.2 MBPart 05-Module 02-Lesson 03_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.mp4 13.8 MBPart 03-Module 01-Lesson 01_Voice User Interfaces/02. VUI Overview-w5QGti1LHzc.mp4 13.5 MBPart 07-Module 01-Lesson 01_Intro to Voice User Interfaces/02. VUI Overview-w5QGti1LHzc.mp4 13.5 MBPart 08-Module 01-Lesson 01_Recurrent Neural Networks/08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.mp4 13.4 MBPart 01-Module 01-Lesson 01_Welcome to Natural Language Processing/06. Towards Augmented Intelligence-6y2B8VKoGTw.mp4 13.0 MBPart 03-Module 01-Lesson 01_Voice User Interfaces/03. VUI Applications-wZLP8cdiA2Y.mp4 12.8 MBPart 07-Module 01-Lesson 01_Intro to Voice User Interfaces/03. VUI Applications-wZLP8cdiA2Y.mp4 12.8 MBPart 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/22. Andrew Trask - Outro-nIF0GLOQglQ.mp4 12.4 MBPart 01-Module 01-Lesson 01_Welcome to Natural Language Processing/03. Welcome to NLP-g-AlFF61p0I.mp4 12.3 MBPart 08-Module 01-Lesson 01_Recurrent Neural Networks/14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.mp4 11.0 MBPart 08-Module 01-Lesson 01_Recurrent Neural Networks/12. 14 RNN A V4 Final-ofbnDxGSUcg.mp4 10.9 MBPart 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/10. Building a Neural Network-aM2k7RTjjJI.mp4 10.7 MBPart 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.mp4 10.5 MBPart 08-Module 01-Lesson 01_Recurrent Neural Networks/01. 00 Luis Introducing Ortal Newtitle121217-oXv7GiC-jrM.mp4 10.2 MBPart 12-Module 01-Lesson 01_Embeddings and Word2Vec/04. Subsampling Solution-MAUM_mV_lj8.mp4 10.1 MBPart 08-Module 01-Lesson 03_Hyperparameters/03. Learning Rate-HLMjeDez7ps.mp4 10.1 MBPart 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.mp4 9.8 MBPart 05-Module 02-Lesson 03_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.mp4 9.7 MBPart 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/09. Mini Project 2 Solution-45ihpPaeO8E.mp4 9.7 MBPart 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.mp4 9.4 MBPart 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.mp4 8.9 MBPart 10-Module 01-Lesson 02_Sentiment Prediction RNN/06. Training The Network-nknJ3Xu3ld0.mp4 8.8 MBPart 12-Module 01-Lesson 01_Embeddings and Word2Vec/07. Building The Network-fhSb5c6UX6M.mp4 8.5 MBPart 06-Module 01-Lesson 05_Deep Learning Attention/10. 08 Multiplicative Attention V2-1-OwCgrx1eQ.mp4 8.4 MBPart 02-Module 01-Lesson 01_Building an NLP Pipeline/01. Natural Language Processing-UQBxJzoCp-I.mp4 8.2 MBPart 12-Module 01-Lesson 01_Embeddings and Word2Vec/05. Making Batches-jx7qwdw-94k.mp4 8.1 MBPart 05-Module 01-Lesson 04_Intro to NLP/01. Intro Arpan-MW5MWOLj064.mp4 7.8 MBPart 07-Module 01-Lesson 03_Speech Recognition/03. Signal Analysis-AJKKQJZsb7o.mp4 7.8 MBPart 12-Module 01-Lesson 01_Embeddings and Word2Vec/09. Building The Network Solution-pkBAhQ2Ki-8.mp4 7.7 MBPart 08-Module 01-Lesson 01_Recurrent Neural Networks/24. RNN Summary-nXP0oGGRrO8.mp4 7.6 MBPart 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.mp4 7.6 MBPart 07-Module 01-Lesson 03_Speech Recognition/12. Voice Data Lab Introduction-9072Yx9hOXk.mp4 7.6 MBPart 08-Module 01-Lesson 03_Hyperparameters/02. Introduction-erwnzFD7AeE.mp4 7.4 MBPart 05-Module 02-Lesson 03_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.mp4 7.3 MBPart 10-Module 01-Lesson 02_Sentiment Prediction RNN/03. Data Preprocessing-h4-LwZU9_k8.mp4 7.2 MBPart 06-Module 01-Lesson 05_Deep Learning Attention/09. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.mp4 7.0 MBPart 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/07. Transforming Text into Numbers-7rHBU5cbePE.mp4 7.0 MBPart 06-Module 01-Lesson 05_Deep Learning Attention/13. 10 Computer Vision Applications V3-bhWwc4BYTYc.mp4 6.9 MBPart 07-Module 01-Lesson 03_Speech Recognition/06. Feature Extraction-qEPu5nQ4IMg.mp4 6.8 MB
Part 05-Module 02-Lesson 01_Nanodegree Career Services/img/feb-26-2019-16-19-56.gif 6.6 MBPart 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/13. NLPND POS 12 Viterbi Algorithm V2-BQn_RZqXpfg.mp4 6.4 MBPart 06-Module 01-Lesson 05_Deep Learning Attention/16. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.mp4 6.4 MBPart 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.mp4 6.4 MBPart 06-Module 01-Lesson 01_Feature extraction and embeddings/01. Feature Extraction-Bd6TJB8eVLQ.mp4 6.2 MBPart 06-Module 01-Lesson 02_Topic Modeling/14. Combining the Models-KRjuchtNilM.mp4 6.1 MBPart 03-Module 01-Lesson 01_Voice User Interfaces/09. Acoustic Models and the Trouble with Time-jVTZCa9Qqmk.mp4 6.1 MBPart 07-Module 01-Lesson 03_Speech Recognition/14. Acoustic Models and the Trouble with Time-jVTZCa9Qqmk.mp4 6.1 MBPart 06-Module 01-Lesson 05_Deep Learning Attention/15. 11 Other Attention Methods V2-VmsR9FVpQiM.mp4 6.1 MBPart 03-Module 01-Lesson 01_Voice User Interfaces/06. Challenges in ASR-59nKRkvk6As.mp4 6.1 MBPart 07-Module 01-Lesson 03_Speech Recognition/02. Challenges in ASR-59nKRkvk6As.mp4 6.1 MBPart 02-Module 01-Lesson 01_Building an NLP Pipeline/14. T-SNE-xxcK8oZ6_WE.mp4 5.8 MBPart 06-Module 01-Lesson 01_Feature extraction and embeddings/09. T-SNE-xxcK8oZ6_WE.mp4 5.8 MBPart 05-Module 01-Lesson 05_Text Processing/01. Text Processing-6LO6I5M18PQ.mp4 5.8 MBPart 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.mp4 5.7 MBPart 05-Module 01-Lesson 04_Intro to NLP/03. Structured Languages-NsmqUIHlk6U.mp4 5.6 MBPart 06-Module 01-Lesson 04_Sequence to Sequence/06. Architecture in More Depth-rdAo4MqLbEk.mp4 5.6 MBPart 06-Module 01-Lesson 03_Sentiment Analysis/01. Intro-MXeF39TDdZY.mp4 5.4 MBPart 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.mp4 5.4 MBPart 05-Module 01-Lesson 04_Intro to NLP/02. Welcome to NLP-g-AlFF61p0I.mp4 5.2 MBPart 05-Module 01-Lesson 05_Text Processing/13. Stemming And Lemmatization-7Gjf81u5hmw.mp4 5.2 MBPart 08-Module 01-Lesson 03_Hyperparameters/05. Minibatch Size-GrrO1NFxaW8.mp4 5.0 MBPart 06-Module 01-Lesson 01_Feature extraction and embeddings/08. Embeddings For Deep Learning-gj8u1KG0H2w.mp4 4.9 MBPart 05-Module 01-Lesson 04_Intro to NLP/05. Unstructured Text-OmwSdaec5vU.mp4 4.9 MBPart 01-Module 01-Lesson 01_Welcome to Natural Language Processing/04. Context-J-4pfu2w1C0.mp4 4.8 MBPart 05-Module 01-Lesson 04_Intro to NLP/07. Context-J-4pfu2w1C0.mp4 4.8 MBPart 06-Module 01-Lesson 04_Sequence to Sequence/05. Architecture encoder decoder-dkHdEAJnV_w.mp4 4.7 MBPart 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/06. NLPND POS 05 Hidden Markov Models V1-aQsYnmio9_E.mp4 4.6 MBPart 07-Module 01-Lesson 03_Speech Recognition/24. Outro-xMXF5PQxHnk.mp4 4.6 MBPart 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/07. NLPND POS 06 Quiz How Many Paths V1-k8FFLUKm_Bo.mp4 4.6 MBPart 06-Module 01-Lesson 05_Deep Learning Attention/11. 09 Additive Attention V2-93VfVWZ-IvY.mp4 4.4 MBPart 12-Module 01-Lesson 01_Embeddings and Word2Vec/08. Negative Sampling-gW17AHBKbHY.mp4 4.4 MBPart 08-Module 01-Lesson 03_Hyperparameters/08. RNN Hyperparameters-yQvnv7l_aUo.mp4 4.3 MBPart 11-Module 01-Lesson 01_TensorFlow/17. Conclusion-wOiUQDgGD9E.mp4 4.3 MBPart 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/03. LSTM Basics-gjb68a4XsqE.mp4 4.2 MBPart 02-Module 01-Lesson 01_Building an NLP Pipeline/10. Bag Of Words-A7M1z8yLl0w.mp4 4.2 MBPart 06-Module 01-Lesson 01_Feature extraction and embeddings/02. Bag Of Words-A7M1z8yLl0w.mp4 4.2 MBPart 05-Module 02-Lesson 03_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.mp4 4.2 MBPart 06-Module 01-Lesson 02_Topic Modeling/01. Introduction-pmpHsYaKxr0.mp4 4.1 MBPart 06-Module 01-Lesson 02_Topic Modeling/09. Beta Distributions-jR4sf50AFio.mp4 4.1 MBPart 07-Module 01-Lesson 03_Speech Recognition/20. A New Paradigm-ojI5SVJ7Pas.mp4 4.1 MBPart 12-Module 01-Lesson 01_Embeddings and Word2Vec/06. Batches Solution-DdfR0RjSC-Q.mp4 4.1 MBPart 07-Module 01-Lesson 03_Speech Recognition/15. HMMs in Speech Recognition-9H2wP7g9d1g.mp4 4.0 MBPart 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/01. Naive Bayes Intro V2-vNOiQXghgRY.mp4 4.0 MBPart 06-Module 01-Lesson 01_Feature extraction and embeddings/07. GloVe-KK3PMIiIn8o.mp4 4.0 MBPart 03-Module 01-Lesson 01_Voice User Interfaces/11. Deep Neural Networks as Speech Models-Rv8LGuiyzB8.mp4 4.0 MBPart 07-Module 01-Lesson 03_Speech Recognition/21. Deep Neural Networks as Speech Models-Rv8LGuiyzB8.mp4 4.0 MBPart 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/01. 3 Intro POS V1-EbPSP604JJA.mp4 4.0 MBPart 06-Module 01-Lesson 05_Deep Learning Attention/02. 02 Sequence To Sequence Recap V2-MRPHIPR0pGE.mp4 3.9 MBPart 05-Module 02-Lesson 03_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.mp4 3.9 MBPart 02-Module 01-Lesson 01_Building an NLP Pipeline/05. Feature Extraction-UgENzCmfFWE.mp4 3.6 MBPart 05-Module 01-Lesson 04_Intro to NLP/11. Feature Extraction-UgENzCmfFWE.mp4 3.6 MBPart 05-Module 02-Lesson 03_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.mp4 3.6 MBPart 09-Module 01-Lesson 01_Keras/06. Keras Lab-a50un22BsLI.mp4 3.6 MBPart 08-Module 01-Lesson 03_Hyperparameters/07. Number Of Hidden Units Layers-IkGAIQH5wH8.mp4 3.6 MBPart 05-Module 01-Lesson 04_Intro to NLP/08. Natural Language Processing-UQBxJzoCp-I.mp4 3.6 MBPart 05-Module 02-Lesson 03_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.mp4 3.5 MBPart 07-Module 01-Lesson 03_Speech Recognition/17. N-Grams-cSP1p9wWhHg.mp4 3.5 MBPart 03-Module 01-Lesson 01_Voice User Interfaces/07. Phonetics-v3lz8t0ZWnQ.mp4 3.5 MBPart 07-Module 01-Lesson 03_Speech Recognition/09. Phonetics-v3lz8t0ZWnQ.mp4 3.5 MBPart 05-Module 02-Lesson 03_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.mp4 3.5 MBPart 05-Module 01-Lesson 05_Text Processing/09. Tokenization-4Ieotbeh4u8.mp4 3.4 MBPart 06-Module 01-Lesson 05_Deep Learning Attention/04. 04 Attention Overview Decoding V2-DJxiPd585GY.mp4 3.4 MBPart 06-Module 01-Lesson 05_Deep Learning Attention/07. 06 Attention Decoder V1-5mMz6nN9_Ss.mp4 3.3 MBPart 05-Module 01-Lesson 05_Text Processing/08. Normalization-eOV2UUY8vtM.mp4 3.3 MBPart 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/04. NLPND POS 03 Bigrams V1-pnZYAsyLb0Y.mp4 3.2 MBPart 06-Module 01-Lesson 02_Topic Modeling/06. Matrices-xBrotILG97c.mp4 3.2 MBPart 05-Module 02-Lesson 03_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.mp4 3.2 MBPart 06-Module 01-Lesson 01_Feature extraction and embeddings/06. Word2Vec-7jjappzGRe0.mp4 3.1 MBPart 02-Module 01-Lesson 01_Building an NLP Pipeline/03. Text Processing-pqheVyctkNQ.mp4 3.1 MBPart 05-Module 01-Lesson 04_Intro to NLP/10. Text Processing-pqheVyctkNQ.mp4 3.1 MBPart 06-Module 01-Lesson 02_Topic Modeling/05. Matrix Multiplication-8GE2EvgdG1Y.mp4 3.1 MBPart 06-Module 01-Lesson 03_Sentiment Analysis/02. Sentiment Analysis 1-5aIgZ3llgSo.mp4 3.1 MBPart 05-Module 02-Lesson 03_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.mp4 2.9 MBPart 03-Module 01-Lesson 01_Voice User Interfaces/10. Language Models-vrrP9fzJGSE.mp4 2.8 MBPart 07-Module 01-Lesson 03_Speech Recognition/16. Language Models-vrrP9fzJGSE.mp4 2.8 MBPart 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.mp4 2.7 MBPart 06-Module 01-Lesson 02_Topic Modeling/10. NLPND LDA 09 Dirichlet Distributions RENDER V2-4wWyD0gB7H8.mp4 2.7 MBPart 06-Module 01-Lesson 04_Sequence to Sequence/04. Applications seq2seq-tDJBDwriJYQ.mp4 2.6 MBPart 05-Module 02-Lesson 03_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.mp4 2.6 MBPart 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-10-27-at-1.29.13-pm.png 2.6 MBPart 06-Module 01-Lesson 05_Deep Learning Attention/06. 05 Attention Encoder V2-sphe9LDT4rA.mp4 2.5 MBPart 05-Module 01-Lesson 05_Text Processing/06. Capturing Text Data-Z4mnMN1ApG4.mp4 2.5 MBPart 07-Module 01-Lesson 03_Speech Recognition/img/two-speechsignals-aligned.png 2.4 MBPart 05-Module 02-Lesson 03_Optimize Your GitHub Profile/08. 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Grammar-Jw3dA7xmoQ4.zh-CN.vtt 617 BytesPart 05-Module 02-Lesson 03_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.ja-JP.vtt 610 BytesPart 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/01. 3 Intro POS V1-EbPSP604JJA.zh-CN.vtt 609 BytesPart 05-Module 02-Lesson 03_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.ar.vtt 608 BytesPart 05-Module 02-Lesson 03_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.ja-JP.vtt 599 BytesPart 09-Module 01-Lesson 01_Keras/06. Keras Lab-a50un22BsLI.en.vtt 586 BytesPart 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/10. NLPND POS 09 Quiz Which Path Is More Likely V1-1r1L_nJSzDs.en.vtt 578 BytesPart 09-Module 01-Lesson 01_Keras/06. Keras Lab-a50un22BsLI.pt-BR.vtt 574 BytesPart 05-Module 02-Lesson 03_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.zh-CN.vtt 556 BytesPart 05-Module 02-Lesson 03_Optimize Your GitHub Profile/13. 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NLPND POS 10 Solution Which Path Is More Likely V1-1qSN7BhUjDY.en.vtt 448 BytesPart 05-Module 02-Lesson 03_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.zh-CN.vtt 438 BytesPart 05-Module 02-Lesson 03_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.en.vtt 435 BytesPart 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/15. 4 Outro POS V1-Sv8mSXQT03Y.en.vtt 428 BytesPart 05-Module 02-Lesson 03_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.en.vtt 419 BytesPart 05-Module 02-Lesson 03_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.zh-CN.vtt 410 BytesPart 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/11. NLPND POS 10 Solution Which Path Is More Likely V1-1qSN7BhUjDY.zh-CN.vtt 408 BytesPart 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/15. 4 Outro POS V1-Sv8mSXQT03Y.zh-CN.vtt 407 BytesPart 05-Module 02-Lesson 03_Optimize Your GitHub Profile/16. 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