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1. (Legacy) What is a word embedding.mp4
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18 MB
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1. (Review) Theano Basics.mp4
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93.4 MB
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1. GloVe Section Introduction.mp4
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1. Introduction, Outline, and Review.mp4
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1. Parts-of-Speech (POS) Tagging.mp4
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1. Parts-of-Speech (POS) Tagging.srt
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1. Pointwise Mutual Information - Word2Vec as Matrix Factorization.mp4
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53.3 MB
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1. Pointwise Mutual Information - Word2Vec as Matrix Factorization.srt
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1. Recursive Neural Networks Section Introduction.mp4
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37.4 MB
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1. Return of the Bigram.mp4
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1. Review Section Intro.mp4
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1. What are vectors.mp4
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35.3 MB
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1. What are vectors.srt
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10.3 KB
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1. What is the Appendix.mp4
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5.5 MB
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1. What is the Appendix.srt
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3.7 KB
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10. GloVe in Code - Theano Gradient Descent.mp4
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44 MB
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10. GloVe in Code - Theano Gradient Descent.srt
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2.7 KB
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10. Named Entity Recognition Baseline.mp4
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14.9 MB
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10. Named Entity Recognition Baseline.srt
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4.4 KB
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10. Proof that using Jupyter Notebook is the same as not using it.mp4
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78.3 MB
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10. Proof that using Jupyter Notebook is the same as not using it.srt
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14.1 KB
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10. RNTN in Tensorflow (Code).mp4
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133.4 MB
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10. RNTN in Tensorflow (Code).srt
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13.3 KB
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10. Review Section Summary.mp4
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3 MB
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10. Review Section Summary.srt
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10. Word2Vec in Code with Numpy.mp4
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108.2 MB
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10. Word2Vec in Code with Numpy.srt
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11.6 KB
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11. BONUS Where to get Udemy coupons and FREE deep learning material.mp4
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37.8 MB
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11. BONUS Where to get Udemy coupons and FREE deep learning material.srt
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11. GloVe in Tensorflow with Gradient Descent.mp4
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74.9 MB
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11. GloVe in Tensorflow with Gradient Descent.srt
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11. Named Entity Recognition RNN in Theano.mp4
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11. Recursive Neural Network in TensorFlow with Recursion.mp4
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12.8 MB
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11. Recursive Neural Network in TensorFlow with Recursion.srt
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11. Word2Vec Tensorflow Implementation Details.mp4
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12.8 MB
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11. Word2Vec Tensorflow Implementation Details.srt
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5 KB
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12. Named Entity Recognition RNN in Tensorflow.mp4
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28.5 MB
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12. Named Entity Recognition RNN in Tensorflow.srt
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2.4 KB
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12. Python 2 vs Python 3.mp4
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7.8 MB
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12. Python 2 vs Python 3.srt
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6.1 KB
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12. Visualizing country analogies with t-SNE.mp4
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9.2 MB
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12. Visualizing country analogies with t-SNE.srt
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12. Word2Vec Tensorflow in Code.mp4
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44.2 MB
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12. Word2Vec Tensorflow in Code.srt
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3.6 KB
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13. How to update only part of a Theano shared variable.mp4
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9.2 MB
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13. How to update only part of a Theano shared variable.srt
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13. Hyperparameter Challenge II.mp4
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3.8 MB
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13. Hyperparameter Challenge II.srt
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13. Hyperparameter Challenge.mp4
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13. Hyperparameter Challenge.srt
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13. Is Theano Dead.mp4
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17.8 MB
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13. Is Theano Dead.srt
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14. Training GloVe with SVD (Singular Value Decomposition).mp4
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52 MB
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14. Training GloVe with SVD (Singular Value Decomposition).srt
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12.4 KB
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14. What order should I take your courses in (part 1).mp4
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29.3 MB
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14. What order should I take your courses in (part 1).srt
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16 KB
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14. Word2Vec in Code with Theano.mp4
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31 MB
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14. Word2Vec in Code with Theano.srt
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15. Alternative to Wikipedia Data Brown Corpus.mp4
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12.5 MB
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15. Alternative to Wikipedia Data Brown Corpus.srt
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8 KB
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15. What order should I take your courses in (part 2).mp4
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37.6 MB
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15. What order should I take your courses in (part 2).srt
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23 KB
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2. (Legacy) Using pre-trained word embeddings.mp4
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4.1 MB
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2. (Legacy) Using pre-trained word embeddings.srt
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2. (Review) Theano Neural Network in Code.mp4
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87 MB
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2. (Review) Theano Neural Network in Code.srt
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2. Bigrams and Language Models.mp4
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12.2 MB
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17.2 KB
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2. CBOW.mp4
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36.5 MB
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2. CBOW.srt
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2. How can neural networks be used to solve POS tagging.mp4
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16.9 MB
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2. How can neural networks be used to solve POS tagging.srt
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2. How to Succeed in this Course.mp4
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3.3 MB
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2. How to Succeed in this Course.srt
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4 KB
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2. How to install wp2txt or WikiExtractor.py.mp4
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3.8 MB
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2. How to install wp2txt or WikiExtractor.py.srt
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3.3 KB
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2. Matrix Factorization for Recommender Systems - Basic Concepts.mp4
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90.2 MB
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2. Matrix Factorization for Recommender Systems - Basic Concepts.srt
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2. PMI in Code.mp4
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73.1 MB
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2. PMI in Code.srt
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2. Sentences as Trees.mp4
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24.2 MB
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2. Sentences as Trees.srt
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2. What is a word analogy.mp4
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31.2 MB
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2. What is a word analogy.srt
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10.3 KB
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3. (Legacy) Word analogies using word embeddings.mp4
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6.6 MB
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3. (Legacy) Word analogies using word embeddings.srt
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5.5 KB
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3. (Review) Tensorflow Basics.mp4
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81.4 MB
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3. (Review) Tensorflow Basics.srt
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5.9 KB
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3. Bigrams in Code.mp4
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17.9 MB
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3. Bigrams in Code.srt
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17.4 KB
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3. Data Description for Recursive Neural Networks.mp4
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11.5 MB
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3. Data Description for Recursive Neural Networks.srt
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9.9 KB
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3. How to Uncompress a .tar.gz file.mp4
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12.9 MB
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3. How to Uncompress a .tar.gz file.srt
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4.1 KB
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3. Matrix Factorization Training.mp4
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28.8 MB
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3. Matrix Factorization Training.srt
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10.1 KB
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3. Parts-of-Speech Tagging Baseline.mp4
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39.9 MB
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3. Parts-of-Speech Tagging Baseline.srt
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12.2 KB
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3. Skip-Gram.mp4
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16.1 MB
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3. Skip-Gram.srt
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5.1 KB
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3. Tensorflow or Theano - Your Choice!.mp4
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18.6 MB
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3. Tensorflow or Theano - Your Choice!.srt
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5.4 KB
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3. Trying to find and assess word vectors using TF-IDF and t-SNE.mp4
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32.1 MB
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3. Trying to find and assess word vectors using TF-IDF and t-SNE.srt
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8.4 KB
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4. (Legacy) TF-IDF and t-SNE experiment.mp4
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26.7 MB
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4. (Legacy) TF-IDF and t-SNE experiment.srt
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12.9 KB
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4. (Review) Tensorflow Neural Network in Code.mp4
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MP4
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97.4 MB
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4. (Review) Tensorflow Neural Network in Code.srt
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4. Expanding the Matrix Factorization Model.mp4
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40.9 MB
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4. Expanding the Matrix Factorization Model.srt
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4. Hierarchical Softmax.mp4
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31.3 MB
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4. Hierarchical Softmax.srt
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10.8 KB
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4. Neural Bigram Model.mp4
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39.7 MB
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4. Neural Bigram Model.srt
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9.7 KB
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4. Parts-of-Speech Tagging Recurrent Neural Network in Theano.mp4
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34.8 MB
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4. Parts-of-Speech Tagging Recurrent Neural Network in Theano.srt
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9.1 KB
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4. Pretrained word vectors from GloVe.mp4
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MP4
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97.5 MB
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4. Pretrained word vectors from GloVe.srt
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14.2 KB
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4. What are Recursive Neural Networks Tree Neural Networks (TNNs).mp4
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MP4
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9.5 MB
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4. What are Recursive Neural Networks Tree Neural Networks (TNNs).srt
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4. Where to get the code data for this course.mp4
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MP4
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6.5 MB
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4. Where to get the code data for this course.srt
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2.2 KB
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4. Windows-Focused Environment Setup 2018.mp4
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186.4 MB
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4. Windows-Focused Environment Setup 2018.srt
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20.1 KB
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5. (Legacy) Word2Vec introduction.mp4
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8.8 MB
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5. (Legacy) Word2Vec introduction.srt
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5. Building a TNN with Recursion.mp4
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8.1 MB
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5. Building a TNN with Recursion.srt
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6.7 KB
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5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
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MP4
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43.9 MB
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5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
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14.5 KB
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5. Negative Sampling.mp4
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59.2 MB
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5. Negative Sampling.srt
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18.1 KB
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5. Neural Bigram Model in Code.mp4
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8.3 MB
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5. Neural Bigram Model in Code.srt
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7.9 KB
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5. Parts-of-Speech Tagging Recurrent Neural Network in Tensorflow.mp4
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MP4
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129.5 MB
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5. Parts-of-Speech Tagging Recurrent Neural Network in Tensorflow.srt
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16.2 KB
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5. Preprocessed Wikipedia Data.mp4
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21.6 MB
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5. Preprocessed Wikipedia Data.srt
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3.8 KB
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5. Pretrained word vectors from word2vec.mp4
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MP4
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63.2 MB
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5. Pretrained word vectors from word2vec.srt
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8.1 KB
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5. Regularization for Matrix Factorization.mp4
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22.3 MB
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5. Regularization for Matrix Factorization.srt
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6. GloVe - Global Vectors for Word Representation.mp4
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7.1 MB
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6. GloVe - Global Vectors for Word Representation.srt
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5.7 KB
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6. How does an HMM solve POS tagging.mp4
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MP4
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45.2 MB
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6. How does an HMM solve POS tagging.srt
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10.9 KB
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6. How to Code by Yourself (part 1).mp4
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24.5 MB
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6. How to Code by Yourself (part 1).srt
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22.8 KB
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6. Negative Sampling - Important Details.mp4
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18.7 MB
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6. Negative Sampling - Important Details.srt
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6. Neural Network Bigram Model.mp4
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8 MB
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6. Neural Network Bigram Model.srt
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11.3 KB
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6. Text Classification with word vectors.mp4
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20.6 MB
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6. Text Classification with word vectors.srt
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6. Trees to Sequences.mp4
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11.2 MB
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6. Trees to Sequences.srt
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9 KB
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7. How to Code by Yourself (part 2).mp4
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14.8 MB
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7. How to Code by Yourself (part 2).srt
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13.3 KB
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7. Neural Network Bigram Model in Code.mp4
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MP4
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5.2 MB
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7. Neural Network Bigram Model in Code.srt
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4 KB
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7. Parts-of-Speech Tagging Hidden Markov Model (HMM).mp4
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MP4
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14.4 MB
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7. Parts-of-Speech Tagging Hidden Markov Model (HMM).srt
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5.2 KB
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7. Recap of ways to train GloVe.mp4
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MP4
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16 MB
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7. Recap of ways to train GloVe.srt
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3.2 KB
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7. Recursive Neural Network in Theano.mp4
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MP4
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52.5 MB
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7. Recursive Neural Network in Theano.srt
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16.1 KB
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7. Text Classification in Code.mp4
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MP4
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54.6 MB
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7. Text Classification in Code.srt
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SRT
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7.3 KB
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7. Why do I have 2 word embedding matrices and what do I do with them.mp4
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MP4
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5.5 MB
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7. Why do I have 2 word embedding matrices and what do I do with them.srt
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2.9 KB
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8. GloVe in Code - Numpy Gradient Descent.mp4
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MP4
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41.9 MB
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8. GloVe in Code - Numpy Gradient Descent.srt
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SRT
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14.7 KB
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8. How to Succeed in this Course (Long Version).mp4
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MP4
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13 MB
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8. How to Succeed in this Course (Long Version).srt
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SRT
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14.7 KB
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8. Improving Efficiency.mp4
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MP4
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11.9 MB
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8. Improving Efficiency.srt
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17.6 KB
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8. Named Entity Recognition (NER).mp4
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MP4
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4.9 MB
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8. Named Entity Recognition (NER).srt
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SRT
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4.2 KB
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8. Recursive Neural Tensor Networks.mp4
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MP4
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11.1 MB
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8. Recursive Neural Tensor Networks.srt
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SRT
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8.5 KB
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8. Using pretrained vectors later in the course.mp4
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MP4
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13.9 MB
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8. Using pretrained vectors later in the course.srt
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4.3 KB
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8. Word2Vec implementation tricks.mp4
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MP4
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15.7 MB
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8. Word2Vec implementation tricks.srt
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6.1 KB
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9. Comparing NER and POS tagging.mp4
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MP4
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14.3 MB
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9. Comparing NER and POS tagging.srt
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2.6 KB
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9. GloVe in Code - Alternating Least Squares.mp4
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MP4
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11.6 MB
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9. GloVe in Code - Alternating Least Squares.srt
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SRT
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3 KB
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9. Improving Efficiency in Code.mp4
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MP4
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6.7 MB
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9. Improving Efficiency in Code.srt
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5.7 KB
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9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
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MP4
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39 MB
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9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
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SRT
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31.8 KB
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9. RNTN in Tensorflow (Tips).mp4
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MP4
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49.5 MB
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9. RNTN in Tensorflow (Tips).srt
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15.8 KB
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9. Word2Vec implementation outline.mp4
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MP4
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14.5 MB
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9. Word2Vec implementation outline.srt
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![Udemy - Natural Language Processing with Deep Learning in Python [Desire Course]](/static/img/no-torrent-image.png "Udemy - Natural Language Processing with Deep Learning in Python [Desire Course]")
