• 12. Is Theano Dead.mp4 17.81 MB
• 12. Is Theano Dead.vtt 11.3 KB
• 1. What is the Appendix.mp4 5.45 MB
• 1. What is the Appendix.vtt 3.28 KB
• 11. Python 2 vs Python 3.mp4 7.83 MB
• 11. Python 2 vs Python 3.vtt 5.35 KB
• 5. How to Code by Yourself (part 1).mp4 24.54 MB
• 5. How to Code by Yourself (part 1).vtt 19.78 KB
• 6. How to Code by Yourself (part 2).mp4 14.8 MB
• 6. How to Code by Yourself (part 2).vtt 11.62 KB
• 3. Windows-Focused Environment Setup 2018.mp4 186.39 MB
• 3. Windows-Focused Environment Setup 2018.vtt 17.39 KB
• 2. How to install wp2txt or WikiExtractor.py.mp4 3.77 MB
• 2. How to install wp2txt or WikiExtractor.py.vtt 2.87 KB
• 7. How to Succeed in this Course (Long Version).mp4 12.99 MB
• 7. How to Succeed in this Course (Long Version).vtt 12.86 KB
• 13. What order should I take your courses in (part 1).mp4 29.32 MB
• 13. What order should I take your courses in (part 1).vtt 14.09 KB
• 14. What order should I take your courses in (part 2).mp4 37.62 MB
• 14. What order should I take your courses in (part 2).vtt 20.24 KB
• 9. Proof that using Jupyter Notebook is the same as not using it.mp4 78.26 MB
• 9. Proof that using Jupyter Notebook is the same as not using it.vtt 12.22 KB
• 10. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 4.02 MB
• 10. BONUS Where to get Udemy coupons and FREE deep learning material.vtt 2.99 KB
• 8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 38.95 MB
• 8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt 27.77 KB
• 4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.92 MB
• 4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt 12.4 KB
• 5. (Legacy) Word2Vec introduction.mp4 8.82 MB
• 5. (Legacy) Word2Vec introduction.vtt 6.13 KB
• 1. (Legacy) What is a word embedding.mp4 18 MB
• 1. (Legacy) What is a word embedding.vtt 12.41 KB
• 4. (Legacy) TF-IDF and t-SNE experiment.mp4 26.75 MB
• 4. (Legacy) TF-IDF and t-SNE experiment.vtt 11.5 KB
• 2. (Legacy) Using pre-trained word embeddings.mp4 4.05 MB
• 2. (Legacy) Using pre-trained word embeddings.vtt 2.86 KB
• 3. (Legacy) Word analogies using word embeddings.mp4 6.61 MB
• 3. (Legacy) Word analogies using word embeddings.vtt 4.89 KB
• 13. Hyperparameter Challenge.mp4 4.04 MB
• 13. Hyperparameter Challenge.vtt 2.9 KB
• 1. GloVe Section Introduction.mp4 17.23 MB
• 1. GloVe Section Introduction.vtt 2.57 KB
• 7. Recap of ways to train GloVe.mp4 15.99 MB
• 7. Recap of ways to train GloVe.vtt 2.85 KB
• 3. Matrix Factorization Training.mp4 28.75 MB
• 3. Matrix Factorization Training.vtt 8.78 KB
• 8. GloVe in Code - Numpy Gradient Descent.mp4 41.85 MB
• 8. GloVe in Code - Numpy Gradient Descent.vtt 12.93 KB
• 5. Regularization for Matrix Factorization.mp4 22.29 MB
• 5. Regularization for Matrix Factorization.vtt 6.5 KB
• 10. GloVe in Code - Theano Gradient Descent.mp4 44.03 MB
• 10. GloVe in Code - Theano Gradient Descent.vtt 2.34 KB
• 4. Expanding the Matrix Factorization Model.mp4 40.93 MB
• 4. Expanding the Matrix Factorization Model.vtt 10.28 KB
• 12. Visualizing country analogies with t-SNE.mp4 9.18 MB
• 12. Visualizing country analogies with t-SNE.vtt 3.24 KB
• 9. GloVe in Code - Alternating Least Squares.mp4 11.65 MB
• 9. GloVe in Code - Alternating Least Squares.vtt 2.66 KB
• 11. GloVe in Tensorflow with Gradient Descent.mp4 74.9 MB
• 11. GloVe in Tensorflow with Gradient Descent.vtt 6.88 KB
• 6. GloVe - Global Vectors for Word Representation.mp4 7.06 MB
• 6. GloVe - Global Vectors for Word Representation.vtt 5.09 KB
• 14. Training GloVe with SVD (Singular Value Decomposition).mp4 51.97 MB
• 14. Training GloVe with SVD (Singular Value Decomposition).vtt 10.89 KB
• 2. Matrix Factorization for Recommender Systems - Basic Concepts.mp4 90.16 MB
• 2. Matrix Factorization for Recommender Systems - Basic Concepts.vtt 23.44 KB
• 2. PMI in Code.mp4 73.11 MB
• 2. PMI in Code.vtt 7.37 KB
• 1. Pointwise Mutual Information - Word2Vec as Matrix Factorization.mp4 53.27 MB
• 1. Pointwise Mutual Information - Word2Vec as Matrix Factorization.vtt 13.65 KB
• 2. CBOW.mp4 36.51 MB
• 2. CBOW.vtt 9 KB
• 3. Skip-Gram.mp4 16.06 MB
• 3. Skip-Gram.vtt 4.52 KB
• 5. Negative Sampling.mp4 59.17 MB
• 5. Negative Sampling.vtt 15.76 KB
• 1. Return of the Bigram.mp4 11.5 MB
• 1. Return of the Bigram.vtt 3.33 KB
• 4. Hierarchical Softmax.mp4 31.24 MB
• 4. Hierarchical Softmax.vtt 9.5 KB
• 10. Word2Vec in Code with Numpy.mp4 108.23 MB
• 10. Word2Vec in Code with Numpy.vtt 10.26 KB
• 12. Word2Vec Tensorflow in Code.mp4 44.14 MB
• 12. Word2Vec Tensorflow in Code.vtt 3.2 KB
• 14. Word2Vec in Code with Theano.mp4 31.05 MB
• 14. Word2Vec in Code with Theano.vtt 6.42 KB
• 8. Word2Vec implementation tricks.mp4 15.67 MB
• 8. Word2Vec implementation tricks.vtt 5.4 KB
• 9. Word2Vec implementation outline.mp4 14.45 MB
• 9. Word2Vec implementation outline.vtt 4.9 KB
• 6. Negative Sampling - Important Details.mp4 18.66 MB
• 6. Negative Sampling - Important Details.vtt 5.86 KB
• 11. Word2Vec Tensorflow Implementation Details.mp4 12.83 MB
• 11. Word2Vec Tensorflow Implementation Details.vtt 4.4 KB
• 15. Alternative to Wikipedia Data Brown Corpus.mp4 12.5 MB
• 15. Alternative to Wikipedia Data Brown Corpus.vtt 7.01 KB
• 13. How to update only part of a Theano shared variable.mp4 9.19 MB
• 13. How to update only part of a Theano shared variable.vtt 6.92 KB
• 7. Why do I have 2 word embedding matrices and what do I do with them.mp4 5.49 MB
• 7. Why do I have 2 word embedding matrices and what do I do with them.vtt 2.56 KB
• 1. (Review) Theano Basics.mp4 93.44 MB
• 1. (Review) Theano Basics.vtt 6.31 KB
• 3. (Review) Tensorflow Basics.mp4 81.45 MB
• 3. (Review) Tensorflow Basics.vtt 5.06 KB
• 2. (Review) Theano Neural Network in Code.mp4 87.02 MB
• 2. (Review) Theano Neural Network in Code.vtt 3.29 KB
• 4. (Review) Tensorflow Neural Network in Code.mp4 97.36 MB
• 4. (Review) Tensorflow Neural Network in Code.vtt 4.78 KB
• 3. How to Succeed in this Course.mp4 3.3 MB
• 3. How to Succeed in this Course.vtt 3.49 KB
• 1. Introduction, Outline, and Review.mp4 37.12 MB
• 1. Introduction, Outline, and Review.vtt 7.69 KB
• 4. Tensorflow or Theano - Your Choice!.mp4 18.58 MB
• 4. Tensorflow or Theano - Your Choice!.vtt 4.75 KB
• 2. Where to get the code data for this course.mp4 6.49 MB
• 2. Where to get the code data for this course.vtt 1.98 KB
• 1. What are vectors.mp4 35.34 MB
• 1. What are vectors.vtt 9.08 KB
• 2. What is a word analogy.mp4 31.2 MB
• 2. What is a word analogy.vtt 8.99 KB
• 7. Text Classification in Code.mp4 54.59 MB
• 7. Text Classification in Code.vtt 6.41 KB
• 4. Pretrained word vectors from GloVe.mp4 97.49 MB
• 4. Pretrained word vectors from GloVe.vtt 12.29 KB
• 5. Pretrained word vectors from word2vec.mp4 63.24 MB
• 5. Pretrained word vectors from word2vec.vtt 6.93 KB
• 6. Text Classification with word vectors.mp4 20.61 MB
• 6. Text Classification with word vectors.vtt 4.8 KB
• 8. Using pretrained vectors later in the course.mp4 13.88 MB
• 8. Using pretrained vectors later in the course.vtt 3.81 KB
• 3. Trying to find and assess word vectors using TF-IDF and t-SNE.mp4 32.13 MB
• 3. Trying to find and assess word vectors using TF-IDF and t-SNE.vtt 7.34 KB
• 13. Hyperparameter Challenge II.mp4 3.83 MB
• 13. Hyperparameter Challenge II.vtt 2.83 KB
• 1. Parts-of-Speech (POS) Tagging.mp4 7.75 MB
• 1. Parts-of-Speech (POS) Tagging.vtt 5.95 KB
• 9. Comparing NER and POS tagging.mp4 14.31 MB
• 9. Comparing NER and POS tagging.vtt 2.3 KB
• 8. Named Entity Recognition (NER).mp4 4.96 MB
• 8. Named Entity Recognition (NER).vtt 3.82 KB
• 3. Parts-of-Speech Tagging Baseline.mp4 39.86 MB
• 3. Parts-of-Speech Tagging Baseline.vtt 10.75 KB
• 6. How does an HMM solve POS tagging.mp4 45.24 MB
• 6. How does an HMM solve POS tagging.vtt 9.56 KB
• 10. Named Entity Recognition Baseline.mp4 14.9 MB
• 10. Named Entity Recognition Baseline.vtt 3.89 KB
• 11. Named Entity Recognition RNN in Theano.mp4 5.4 MB
• 11. Named Entity Recognition RNN in Theano.vtt 1.47 KB
• 12. Named Entity Recognition RNN in Tensorflow.mp4 28.53 MB
• 12. Named Entity Recognition RNN in Tensorflow.vtt 2.12 KB
• 7. Parts-of-Speech Tagging Hidden Markov Model (HMM).mp4 14.38 MB
• 7. Parts-of-Speech Tagging Hidden Markov Model (HMM).vtt 4.56 KB
• 2. How can neural networks be used to solve POS tagging.mp4 16.88 MB
• 2. How can neural networks be used to solve POS tagging.vtt 4.83 KB
• 4. Parts-of-Speech Tagging Recurrent Neural Network in Theano.mp4 34.81 MB
• 4. Parts-of-Speech Tagging Recurrent Neural Network in Theano.vtt 8.04 KB
• 5. Parts-of-Speech Tagging Recurrent Neural Network in Tensorflow.mp4 129.45 MB
• 5. Parts-of-Speech Tagging Recurrent Neural Network in Tensorflow.vtt 14.14 KB
• 3. Bigrams in Code.mp4 17.88 MB
• 3. Bigrams in Code.vtt 15.13 KB
• 4. Neural Bigram Model.mp4 39.72 MB
• 4. Neural Bigram Model.vtt 8.54 KB
• 1. Review Section Intro.mp4 5.55 MB
• 1. Review Section Intro.vtt 3.77 KB
• 8. Improving Efficiency.mp4 11.92 MB
• 8. Improving Efficiency.vtt 15.3 KB
• 10. Review Section Summary.mp4 2.98 MB
• 10. Review Section Summary.vtt 3.83 KB
• 2. Bigrams and Language Models.mp4 12.23 MB
• 2. Bigrams and Language Models.vtt 15.07 KB
• 5. Neural Bigram Model in Code.mp4 8.3 MB
• 5. Neural Bigram Model in Code.vtt 6.88 KB
• 6. Neural Network Bigram Model.mp4 8.04 MB
• 6. Neural Network Bigram Model.vtt 9.94 KB
• 9. Improving Efficiency in Code.mp4 6.74 MB
• 9. Improving Efficiency in Code.vtt 5.03 KB
• 7. Neural Network Bigram Model in Code.mp4 5.16 MB
• 7. Neural Network Bigram Model in Code.vtt 3.52 KB
• 2. Sentences as Trees.mp4 24.19 MB
• 2. Sentences as Trees.vtt 6.21 KB
• 6. Trees to Sequences.mp4 11.16 MB
• 6. Trees to Sequences.vtt 8.02 KB
• 9. RNTN in Tensorflow (Tips).mp4 49.5 MB
• 9. RNTN in Tensorflow (Tips).vtt 13.86 KB
• 10. RNTN in Tensorflow (Code).mp4 133.42 MB
• 10. RNTN in Tensorflow (Code).vtt 11.64 KB
• 5. Building a TNN with Recursion.mp4 8.09 MB
• 5. Building a TNN with Recursion.vtt 5.97 KB
• 8. Recursive Neural Tensor Networks.mp4 11.09 MB
• 8. Recursive Neural Tensor Networks.vtt 7.56 KB
• 7. Recursive Neural Network in Theano.mp4 52.51 MB
• 7. Recursive Neural Network in Theano.vtt 14.09 KB
• 1. Recursive Neural Networks Section Introduction.mp4 37.39 MB
• 1. Recursive Neural Networks Section Introduction.vtt 8.4 KB
• 3. Data Description for Recursive Neural Networks.mp4 11.55 MB
• 3. Data Description for Recursive Neural Networks.vtt 8.89 KB
• 11. Recursive Neural Network in TensorFlow with Recursion.mp4 12.74 MB
• 11. Recursive Neural Network in TensorFlow with Recursion.vtt 4.78 KB
• 4. What are Recursive Neural Networks Tree Neural Networks (TNNs).mp4 9.51 MB
• 4. What are Recursive Neural Networks Tree Neural Networks (TNNs).vtt 7.06 KB

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