| 1. (Legacy) What is a word embedding.mp4 | 18 MB | ||
| 1. (Legacy) What is a word embedding.vtt | 12.4 KB | ||
| 1. (Review) Theano Basics.mp4 | 93.4 MB | ||
| 1. (Review) Theano Basics.vtt | 6.3 KB | ||
| 1. GloVe Section Introduction.mp4 | 17.2 MB | ||
| 1. GloVe Section Introduction.vtt | 2.6 KB | ||
| 1. Introduction, Outline, and Review.mp4 | 37.1 MB | ||
| 1. Introduction, Outline, and Review.vtt | 7.7 KB | ||
| 1. Parts-of-Speech (POS) Tagging.mp4 | 7.8 MB | ||
| 1. Parts-of-Speech (POS) Tagging.vtt | 5.9 KB | ||
| 1. Pointwise Mutual Information - Word2Vec as Matrix Factorization.mp4 | 53.3 MB | ||
| 1. Pointwise Mutual Information - Word2Vec as Matrix Factorization.vtt | 53.3 MB | ||
| 1. Recursive Neural Networks Section Introduction.mp4 | 37.4 MB | ||
| 1. Recursive Neural Networks Section Introduction.vtt | 8.4 KB | ||
| 1. Return of the Bigram.mp4 | 11.5 MB | ||
| 1. Return of the Bigram.vtt | 3.3 KB | ||
| 1. Review Section Intro.mp4 | 5.5 MB | ||
| 1. Review Section Intro.vtt | 3.8 KB | ||
| 1. What are vectors.mp4 | 35.3 MB | ||
| 1. What are vectors.vtt | 9.1 KB | ||
| 1. What is the Appendix.mp4 | 5.5 MB | ||
| 1. What is the Appendix.vtt | 3.3 KB | ||
| 10. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 | 4 MB | ||
| 10. BONUS Where to get Udemy coupons and FREE deep learning material.vtt | 3 KB | ||
| 10. GloVe in Code - Theano Gradient Descent.mp4 | 44 MB | ||
| 10. GloVe in Code - Theano Gradient Descent.vtt | 2.3 KB | ||
| 10. Named Entity Recognition Baseline.mp4 | 14.9 MB | ||
| 10. Named Entity Recognition Baseline.vtt | 3.9 KB | ||
| 10. RNTN in Tensorflow (Code).mp4 | 133.4 MB | ||
| 10. RNTN in Tensorflow (Code).vtt | 133.4 MB | ||
| 10. Review Section Summary.mp4 | 3 MB | ||
| 10. Review Section Summary.vtt | 3.8 KB | ||
| 10. Word2Vec in Code with Numpy.mp4 | 108.2 MB | ||
| 10. Word2Vec in Code with Numpy.vtt | 10.3 KB | ||
| 11. GloVe in Tensorflow with Gradient Descent.mp4 | 74.9 MB | ||
| 11. GloVe in Tensorflow with Gradient Descent.vtt | 6.9 KB | ||
| 11. Named Entity Recognition RNN in Theano.mp4 | 5.4 MB | ||
| 11. Named Entity Recognition RNN in Theano.vtt | 1.5 KB | ||
| 11. Python 2 vs Python 3.mp4 | 7.8 MB | ||
| 11. Python 2 vs Python 3.vtt | 5.4 KB | ||
| 11. Recursive Neural Network in TensorFlow with Recursion.mp4 | 12.7 MB | ||
| 11. Recursive Neural Network in TensorFlow with Recursion.vtt | 4.8 KB | ||
| 11. Word2Vec Tensorflow Implementation Details.mp4 | 12.8 MB | ||
| 11. Word2Vec Tensorflow Implementation Details.vtt | 12.8 MB | ||
| 12. Is Theano Dead.mp4 | 17.8 MB | ||
| 12. Is Theano Dead.vtt | 17.8 MB | ||
| 12. Named Entity Recognition RNN in Tensorflow.mp4 | 28.5 MB | ||
| 12. Named Entity Recognition RNN in Tensorflow.vtt | 2.1 KB | ||
| 12. Visualizing country analogies with t-SNE.mp4 | 9.2 MB | ||
| 12. Visualizing country analogies with t-SNE.vtt | 3.2 KB | ||
| 12. Word2Vec Tensorflow in Code.mp4 | 44.2 MB | ||
| 12. Word2Vec Tensorflow in Code.vtt | 3.2 KB | ||
| 13. How to update only part of a Theano shared variable.mp4 | 9.2 MB | ||
| 13. How to update only part of a Theano shared variable.vtt | 6.9 KB | ||
| 13. Hyperparameter Challenge II.mp4 | 3.8 MB | ||
| 13. Hyperparameter Challenge II.vtt | 2.8 KB | ||
| 13. Hyperparameter Challenge.mp4 | 4 MB | ||
| 13. Hyperparameter Challenge.vtt | 2.9 KB | ||
| 13. What order should I take your courses in (part 1).mp4 | 29.3 MB | ||
| 13. What order should I take your courses in (part 1).vtt | 14.1 KB | ||
| 14. Training GloVe with SVD (Singular Value Decomposition).mp4 | 52 MB | ||
| 14. Training GloVe with SVD (Singular Value Decomposition).vtt | 10.9 KB | ||
| 14. What order should I take your courses in (part 2).mp4 | 37.6 MB | ||
| 14. What order should I take your courses in (part 2).vtt | 20.2 KB | ||
| 14. Word2Vec in Code with Theano.mp4 | 31.1 MB | ||
| 14. Word2Vec in Code with Theano.vtt | 6.4 KB | ||
| 15. Alternative to Wikipedia Data Brown Corpus.mp4 | 12.5 MB | ||
| 15. Alternative to Wikipedia Data Brown Corpus.vtt | 7 KB | ||
| 2. (Legacy) Using pre-trained word embeddings.mp4 | 4.1 MB | ||
| 2. (Legacy) Using pre-trained word embeddings.vtt | 2.9 KB | ||
| 2. (Review) Theano Neural Network in Code.mp4 | 87 MB | ||
| 2. (Review) Theano Neural Network in Code.vtt | 3.3 KB | ||
| 2. Bigrams and Language Models.mp4 | 12.2 MB | ||
| 2. Bigrams and Language Models.vtt | 15.1 KB | ||
| 2. CBOW.mp4 | 36.5 MB | ||
| 2. CBOW.vtt | 9 KB | ||
| 2. How can neural networks be used to solve POS tagging.mp4 | 16.9 MB | ||
| 2. How can neural networks be used to solve POS tagging.vtt | 4.8 KB | ||
| 2. How to install wp2txt or WikiExtractor.py.mp4 | 3.8 MB | ||
| 2. How to install wp2txt or WikiExtractor.py.vtt | 2.9 KB | ||
| 2. Matrix Factorization for Recommender Systems - Basic Concepts.mp4 | 90.2 MB | ||
| 2. Matrix Factorization for Recommender Systems - Basic Concepts.vtt | 23.4 KB | ||
| 2. PMI in Code.mp4 | 73.1 MB | ||
| 2. PMI in Code.vtt | 7.4 KB | ||
| 2. Sentences as Trees.mp4 | 24.2 MB | ||
| 2. Sentences as Trees.vtt | 6.2 KB | ||
| 2. What is a word analogy.mp4 | 31.2 MB | ||
| 2. What is a word analogy.vtt | 9 KB | ||
| 2. Where to get the code data for this course.mp4 | 6.5 MB | ||
| 2. Where to get the code data for this course.vtt | 6.5 MB | ||
| 3. (Legacy) Word analogies using word embeddings.mp4 | 6.6 MB | ||
| 3. (Legacy) Word analogies using word embeddings.vtt | 4.9 KB | ||
| 3. (Review) Tensorflow Basics.mp4 | 81.5 MB | ||
| 3. (Review) Tensorflow Basics.vtt | 5.1 KB | ||
| 3. Bigrams in Code.mp4 | 17.9 MB | ||
| 3. Bigrams in Code.vtt | 15.1 KB | ||
| 3. Data Description for Recursive Neural Networks.mp4 | 11.5 MB | ||
| 3. Data Description for Recursive Neural Networks.vtt | 8.9 KB | ||
| 3. How to Succeed in this Course.mp4 | 3.3 MB | ||
| 3. How to Succeed in this Course.vtt | 3.5 KB | ||
| 3. Matrix Factorization Training.mp4 | 28.8 MB | ||
| 3. Matrix Factorization Training.vtt | 8.8 KB | ||
| 3. Parts-of-Speech Tagging Baseline.mp4 | 39.9 MB | ||
| 3. Parts-of-Speech Tagging Baseline.vtt | 10.7 KB | ||
| 3. Skip-Gram.mp4 | 16.1 MB | ||
| 3. Skip-Gram.vtt | 4.5 KB | ||
| 3. Trying to find and assess word vectors using TF-IDF and t-SNE.mp4 | 32.1 MB | ||
| 3. Trying to find and assess word vectors using TF-IDF and t-SNE.vtt | 7.3 KB | ||
| 3. Windows-Focused Environment Setup 2018.mp4 | 186.4 MB | ||
| 3. Windows-Focused Environment Setup 2018.vtt | 17.4 KB | ||
| 4. (Legacy) TF-IDF and t-SNE experiment.mp4 | 26.8 MB | ||
| 4. (Legacy) TF-IDF and t-SNE experiment.vtt | 11.5 KB | ||
| 4. (Review) Tensorflow Neural Network in Code.mp4 | 97.4 MB | ||
| 4. (Review) Tensorflow Neural Network in Code.vtt | 4.8 KB | ||
| 4. Expanding the Matrix Factorization Model.mp4 | 40.9 MB | ||
| 4. Expanding the Matrix Factorization Model.vtt | 10.3 KB | ||
| 4. Hierarchical Softmax.mp4 | 31.2 MB | ||
| 4. Hierarchical Softmax.vtt | 53.9 MB | ||
| 4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 | 43.9 MB | ||
| 4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt | 12.4 KB | ||
| 4. Neural Bigram Model.mp4 | 39.7 MB | ||
| 4. Neural Bigram Model.vtt | 8.5 KB | ||
| 4. Parts-of-Speech Tagging Recurrent Neural Network in Theano.mp4 | 34.8 MB | ||
| 4. Parts-of-Speech Tagging Recurrent Neural Network in Theano.vtt | 8 KB | ||
| 4. Pretrained word vectors from GloVe.mp4 | 97.5 MB | ||
| 4. Pretrained word vectors from GloVe.vtt | 12.3 KB | ||
| 4. Tensorflow or Theano - Your Choice!.mp4 | 18.6 MB | ||
| 4. Tensorflow or Theano - Your Choice!.vtt | 4.8 KB | ||
| 4. What are Recursive Neural Networks Tree Neural Networks (TNNs).mp4 | 9.5 MB | ||
| 4. What are Recursive Neural Networks Tree Neural Networks (TNNs).vtt | 7.1 KB | ||
| 5. (Legacy) Word2Vec introduction.mp4 | 8.8 MB | ||
| 5. (Legacy) Word2Vec introduction.vtt | 6.1 KB | ||
| 5. Building a TNN with Recursion.mp4 | 8.1 MB | ||
| 5. Building a TNN with Recursion.vtt | 6 KB | ||
| 5. How to Code by Yourself (part 1).mp4 | 24.5 MB | ||
| 5. How to Code by Yourself (part 1).vtt | 19.8 KB | ||
| 5. Negative Sampling.mp4 | 59.2 MB | ||
| 5. Negative Sampling.vtt | 15.8 KB | ||
| 5. Neural Bigram Model in Code.mp4 | 8.3 MB | ||
| 5. Neural Bigram Model in Code.vtt | 6.9 KB | ||
| 5. Parts-of-Speech Tagging Recurrent Neural Network in Tensorflow.mp4 | 129.5 MB | ||
| 5. Parts-of-Speech Tagging Recurrent Neural Network in Tensorflow.vtt | 14.1 KB | ||
| 5. Pretrained word vectors from word2vec.mp4 | 63.2 MB | ||
| 5. Pretrained word vectors from word2vec.vtt | 63.3 MB | ||
| 5. Regularization for Matrix Factorization.mp4 | 22.3 MB | ||
| 5. Regularization for Matrix Factorization.vtt | 6.5 KB | ||
| 6. GloVe - Global Vectors for Word Representation.mp4 | 7.1 MB | ||
| 6. GloVe - Global Vectors for Word Representation.vtt | 5.1 KB | ||
| 6. How does an HMM solve POS tagging.mp4 | 45.2 MB | ||
| 6. How does an HMM solve POS tagging.vtt | 9.6 KB | ||
| 6. How to Code by Yourself (part 2).mp4 | 14.8 MB | ||
| 6. How to Code by Yourself (part 2).vtt | 11.6 KB | ||
| 6. Negative Sampling - Important Details.mp4 | 18.7 MB | ||
| 6. Negative Sampling - Important Details.vtt | 5.9 KB | ||
| 6. Neural Network Bigram Model.mp4 | 8 MB | ||
| 6. Neural Network Bigram Model.vtt | 9.9 KB | ||
| 6. Text Classification with word vectors.mp4 | 20.6 MB | ||
| 6. Text Classification with word vectors.vtt | 4.8 KB | ||
| 6. Trees to Sequences.mp4 | 11.2 MB | ||
| 6. Trees to Sequences.vtt | 8 KB | ||
| 7. How to Succeed in this Course (Long Version).mp4 | 13 MB | ||
| 7. How to Succeed in this Course (Long Version).vtt | 12.9 KB | ||
| 7. Neural Network Bigram Model in Code.mp4 | 5.2 MB | ||
| 7. Neural Network Bigram Model in Code.vtt | 3.5 KB | ||
| 7. Parts-of-Speech Tagging Hidden Markov Model (HMM).mp4 | 14.4 MB | ||
| 7. Parts-of-Speech Tagging Hidden Markov Model (HMM).vtt | 4.6 KB | ||
| 7. Recap of ways to train GloVe.mp4 | 16 MB | ||
| 7. Recap of ways to train GloVe.vtt | 2.9 KB | ||
| 7. Recursive Neural Network in Theano.mp4 | 52.5 MB | ||
| 7. Recursive Neural Network in Theano.vtt | 14.1 KB | ||
| 7. Text Classification in Code.mp4 | 54.6 MB | ||
| 7. Text Classification in Code.vtt | 6.4 KB | ||
| 7. Why do I have 2 word embedding matrices and what do I do with them.mp4 | 5.5 MB | ||
| 7. Why do I have 2 word embedding matrices and what do I do with them.vtt | 2.6 KB | ||
| 8. GloVe in Code - Numpy Gradient Descent.mp4 | 41.9 MB | ||
| 8. GloVe in Code - Numpy Gradient Descent.vtt | 12.9 KB | ||
| 8. Improving Efficiency.mp4 | 11.9 MB | ||
| 8. Improving Efficiency.vtt | 15.3 KB | ||
| 8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 | 39 MB | ||
| 8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt | 27.8 KB | ||
| 8. Named Entity Recognition (NER).mp4 | 5 MB | ||
| 8. Named Entity Recognition (NER).vtt | 3.8 KB | ||
| 8. Recursive Neural Tensor Networks.mp4 | 11.1 MB | ||
| 8. Recursive Neural Tensor Networks.vtt | 7.6 KB | ||
| 8. Using pretrained vectors later in the course.mp4 | 13.9 MB | ||
| 8. Using pretrained vectors later in the course.vtt | 3.8 KB | ||
| 8. Word2Vec implementation tricks.mp4 | 15.7 MB | ||
| 8. Word2Vec implementation tricks.vtt | 5.4 KB | ||
| 9. Comparing NER and POS tagging.mp4 | 14.3 MB | ||
| 9. Comparing NER and POS tagging.vtt | 2.3 KB | ||
| 9. GloVe in Code - Alternating Least Squares.mp4 | 11.6 MB | ||
| 9. GloVe in Code - Alternating Least Squares.vtt | 2.7 KB | ||
| 9. Improving Efficiency in Code.mp4 | 6.8 MB | ||
| 9. Improving Efficiency in Code.vtt | 5 KB | ||
| 9. Proof that using Jupyter Notebook is the same as not using it.mp4 | 78.3 MB | ||
| 9. Proof that using Jupyter Notebook is the same as not using it.vtt | 12.2 KB | ||
| 9. RNTN in Tensorflow (Tips).mp4 | 49.5 MB | ||
| 9. RNTN in Tensorflow (Tips).vtt | 49.5 MB | ||
| 9. Word2Vec implementation outline.mp4 | 14.5 MB | ||
| 9. Word2Vec implementation outline.vtt | 34.9 MB | ||
| [FreeCourseLab.com].url | 102.4 B | ||
| ▲ 201 total files | |||
Udemy - Natural Language Processing with Deep Learning in Python
If you want more than just a superficial look at machine learning models, this course is for you.
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