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Udemy - Natural Language Processing with Deep Learning in Python (12.2019)

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File Name
Size
1. Outline, Review, and Logistical Things/1. Introduction, Outline, and Review.mp4
37 MB
1. Outline, Review, and Logistical Things/1. Introduction, Outline, and Review.vtt
7.7 kB
1. Outline, Review, and Logistical Things/2. Where to get the code data for this course.mp4
6.5 MB
1. Outline, Review, and Logistical Things/2. Where to get the code data for this course.vtt
2.0 kB
1. Outline, Review, and Logistical Things/3. How to Succeed in this Course.mp4
3.3 MB
1. Outline, Review, and Logistical Things/3. How to Succeed in this Course.vtt
3.5 kB
1. Outline, Review, and Logistical Things/4. Tensorflow or Theano - Your Choice!.mp4
19 MB
1. Outline, Review, and Logistical Things/4. Tensorflow or Theano - Your Choice!.vtt
4.8 kB
10. Legacy Word2vec Lectures/1. (Legacy) What is a word embedding.mp4
18 MB
10. Legacy Word2vec Lectures/1. (Legacy) What is a word embedding.vtt
12 kB
10. Legacy Word2vec Lectures/2. (Legacy) Using pre-trained word embeddings.mp4
4.1 MB
10. Legacy Word2vec Lectures/2. (Legacy) Using pre-trained word embeddings.vtt
2.9 kB
10. Legacy Word2vec Lectures/3. (Legacy) Word analogies using word embeddings.mp4
6.6 MB
10. Legacy Word2vec Lectures/3. (Legacy) Word analogies using word embeddings.vtt
4.9 kB
10. Legacy Word2vec Lectures/4. (Legacy) TF-IDF and t-SNE experiment.mp4
27 MB
10. Legacy Word2vec Lectures/4. (Legacy) TF-IDF and t-SNE experiment.vtt
12 kB
10. Legacy Word2vec Lectures/5. (Legacy) Word2Vec introduction.mp4
8.8 MB
10. Legacy Word2vec Lectures/5. (Legacy) Word2Vec introduction.vtt
6.1 kB
11. Appendix/1. What is the Appendix.mp4
5.5 MB
11. Appendix/1. What is the Appendix.vtt
3.3 kB
11. Appendix/10. BONUS Where to get Udemy coupons and FREE deep learning material.mp4
4.0 MB
11. Appendix/10. BONUS Where to get Udemy coupons and FREE deep learning material.vtt
3.0 kB
11. Appendix/11. Python 2 vs Python 3.mp4
7.8 MB
11. Appendix/11. Python 2 vs Python 3.vtt
5.4 kB
11. Appendix/12. Is Theano Dead.mp4
18 MB
11. Appendix/12. Is Theano Dead.vtt
11 kB
11. Appendix/13. What order should I take your courses in (part 1).mp4
29 MB
11. Appendix/13. What order should I take your courses in (part 1).vtt
14 kB
11. Appendix/14. What order should I take your courses in (part 2).mp4
38 MB
11. Appendix/14. What order should I take your courses in (part 2).vtt
20 kB
11. Appendix/2. How to install wp2txt or WikiExtractor.py.mp4
3.8 MB
11. Appendix/2. How to install wp2txt or WikiExtractor.py.vtt
2.9 kB
11. Appendix/3. Windows-Focused Environment Setup 2018.mp4
186 MB
11. Appendix/3. Windows-Focused Environment Setup 2018.vtt
17 kB
11. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
44 MB
11. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt
12 kB
11. Appendix/5. How to Code by Yourself (part 1).mp4
24 MB
11. Appendix/5. How to Code by Yourself (part 1).vtt
20 kB
11. Appendix/6. How to Code by Yourself (part 2).mp4
15 MB
11. Appendix/6. How to Code by Yourself (part 2).vtt
12 kB
11. Appendix/7. How to Succeed in this Course (Long Version).mp4
13 MB
11. Appendix/7. How to Succeed in this Course (Long Version).vtt
13 kB
11. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
39 MB
11. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt
28 kB
11. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4
78 MB
11. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.vtt
12 kB
2. Beginner's Corner Working with Word Vectors/1. What are vectors.mp4
35 MB
2. Beginner's Corner Working with Word Vectors/1. What are vectors.vtt
9.1 kB
2. Beginner's Corner Working with Word Vectors/2. What is a word analogy.mp4
31 MB
2. Beginner's Corner Working with Word Vectors/2. What is a word analogy.vtt
9.0 kB
2. Beginner's Corner Working with Word Vectors/3. Trying to find and assess word vectors using TF-IDF and t-SNE.mp4
32 MB
2. Beginner's Corner Working with Word Vectors/3. Trying to find and assess word vectors using TF-IDF and t-SNE.vtt
7.3 kB
2. Beginner's Corner Working with Word Vectors/4. Pretrained word vectors from GloVe.mp4
98 MB
2. Beginner's Corner Working with Word Vectors/4. Pretrained word vectors from GloVe.vtt
12 kB
2. Beginner's Corner Working with Word Vectors/5. Pretrained word vectors from word2vec.mp4
63 MB
2. Beginner's Corner Working with Word Vectors/5. Pretrained word vectors from word2vec.vtt
6.9 kB
2. Beginner's Corner Working with Word Vectors/6. Text Classification with word vectors.mp4
21 MB
2. Beginner's Corner Working with Word Vectors/6. Text Classification with word vectors.vtt
4.8 kB
2. Beginner's Corner Working with Word Vectors/7. Text Classification in Code.mp4
55 MB
2. Beginner's Corner Working with Word Vectors/7. Text Classification in Code.vtt
6.4 kB
2. Beginner's Corner Working with Word Vectors/8. Using pretrained vectors later in the course.mp4
14 MB
2. Beginner's Corner Working with Word Vectors/8. Using pretrained vectors later in the course.vtt
3.8 kB
3. Review of Language Modeling and Neural Networks/1. Review Section Intro.mp4
5.5 MB
3. Review of Language Modeling and Neural Networks/1. Review Section Intro.vtt
3.8 kB
3. Review of Language Modeling and Neural Networks/10. Review Section Summary.mp4
3.0 MB
3. Review of Language Modeling and Neural Networks/10. Review Section Summary.vtt
3.8 kB
3. Review of Language Modeling and Neural Networks/2. Bigrams and Language Models.mp4
12 MB
3. Review of Language Modeling and Neural Networks/2. Bigrams and Language Models.vtt
15 kB
3. Review of Language Modeling and Neural Networks/3. Bigrams in Code.mp4
18 MB
3. Review of Language Modeling and Neural Networks/3. Bigrams in Code.vtt
15 kB
3. Review of Language Modeling and Neural Networks/4. Neural Bigram Model.mp4
40 MB
3. Review of Language Modeling and Neural Networks/4. Neural Bigram Model.vtt
8.5 kB
3. Review of Language Modeling and Neural Networks/5. Neural Bigram Model in Code.mp4
8.3 MB
3. Review of Language Modeling and Neural Networks/5. Neural Bigram Model in Code.vtt
6.9 kB
3. Review of Language Modeling and Neural Networks/6. Neural Network Bigram Model.mp4
8.0 MB
3. Review of Language Modeling and Neural Networks/6. Neural Network Bigram Model.vtt
9.9 kB
3. Review of Language Modeling and Neural Networks/7. Neural Network Bigram Model in Code.mp4
5.2 MB
3. Review of Language Modeling and Neural Networks/7. Neural Network Bigram Model in Code.vtt
3.5 kB
3. Review of Language Modeling and Neural Networks/8. Improving Efficiency.mp4
12 MB
3. Review of Language Modeling and Neural Networks/8. Improving Efficiency.vtt
15 kB
3. Review of Language Modeling and Neural Networks/9. Improving Efficiency in Code.mp4
6.7 MB
3. Review of Language Modeling and Neural Networks/9. Improving Efficiency in Code.vtt
5.0 kB
4. Word Embeddings and Word2Vec/1. Return of the Bigram.mp4
12 MB
4. Word Embeddings and Word2Vec/1. Return of the Bigram.vtt
3.3 kB
4. Word Embeddings and Word2Vec/10. Word2Vec in Code with Numpy.mp4
108 MB
4. Word Embeddings and Word2Vec/10. Word2Vec in Code with Numpy.vtt
10 kB
4. Word Embeddings and Word2Vec/11. Word2Vec Tensorflow Implementation Details.mp4
13 MB
4. Word Embeddings and Word2Vec/11. Word2Vec Tensorflow Implementation Details.vtt
4.4 kB
4. Word Embeddings and Word2Vec/12. Word2Vec Tensorflow in Code.mp4
44 MB
4. Word Embeddings and Word2Vec/12. Word2Vec Tensorflow in Code.vtt
3.2 kB
4. Word Embeddings and Word2Vec/13. How to update only part of a Theano shared variable.mp4
9.2 MB
4. Word Embeddings and Word2Vec/13. How to update only part of a Theano shared variable.vtt
6.9 kB
4. Word Embeddings and Word2Vec/14. Word2Vec in Code with Theano.mp4
31 MB
4. Word Embeddings and Word2Vec/14. Word2Vec in Code with Theano.vtt
6.4 kB
4. Word Embeddings and Word2Vec/15. Alternative to Wikipedia Data Brown Corpus.mp4
12 MB
4. Word Embeddings and Word2Vec/15. Alternative to Wikipedia Data Brown Corpus.vtt
7.0 kB
4. Word Embeddings and Word2Vec/2. CBOW.mp4
36 MB
4. Word Embeddings and Word2Vec/2. CBOW.vtt
9.0 kB
4. Word Embeddings and Word2Vec/3. Skip-Gram.mp4
16 MB
4. Word Embeddings and Word2Vec/3. Skip-Gram.vtt
4.5 kB
4. Word Embeddings and Word2Vec/4. Hierarchical Softmax.mp4
31 MB
4. Word Embeddings and Word2Vec/4. Hierarchical Softmax.vtt
9.5 kB
4. Word Embeddings and Word2Vec/5. Negative Sampling.mp4
59 MB
4. Word Embeddings and Word2Vec/5. Negative Sampling.vtt
16 kB
4. Word Embeddings and Word2Vec/6. Negative Sampling - Important Details.mp4
19 MB
4. Word Embeddings and Word2Vec/6. Negative Sampling - Important Details.vtt
5.9 kB
4. Word Embeddings and Word2Vec/7. Why do I have 2 word embedding matrices and what do I do with them.mp4
5.5 MB
4. Word Embeddings and Word2Vec/7. Why do I have 2 word embedding matrices and what do I do with them.vtt
2.6 kB
4. Word Embeddings and Word2Vec/8. Word2Vec implementation tricks.mp4
16 MB
4. Word Embeddings and Word2Vec/8. Word2Vec implementation tricks.vtt
5.4 kB
4. Word Embeddings and Word2Vec/9. Word2Vec implementation outline.mp4
14 MB
4. Word Embeddings and Word2Vec/9. Word2Vec implementation outline.vtt
4.9 kB
5. Word Embeddings using GloVe/1. GloVe Section Introduction.mp4
17 MB
5. Word Embeddings using GloVe/1. GloVe Section Introduction.vtt
2.6 kB
5. Word Embeddings using GloVe/10. GloVe in Code - Theano Gradient Descent.mp4
44 MB
5. Word Embeddings using GloVe/10. GloVe in Code - Theano Gradient Descent.vtt
2.3 kB
5. Word Embeddings using GloVe/11. GloVe in Tensorflow with Gradient Descent.mp4
75 MB
5. Word Embeddings using GloVe/11. GloVe in Tensorflow with Gradient Descent.vtt
6.9 kB
5. Word Embeddings using GloVe/12. Visualizing country analogies with t-SNE.mp4
9.2 MB
5. Word Embeddings using GloVe/12. Visualizing country analogies with t-SNE.vtt
3.2 kB
5. Word Embeddings using GloVe/13. Hyperparameter Challenge.mp4
4.0 MB
5. Word Embeddings using GloVe/13. Hyperparameter Challenge.vtt
2.9 kB
5. Word Embeddings using GloVe/14. Training GloVe with SVD (Singular Value Decomposition).mp4
52 MB
5. Word Embeddings using GloVe/14. Training GloVe with SVD (Singular Value Decomposition).vtt
11 kB
5. Word Embeddings using GloVe/2. Matrix Factorization for Recommender Systems - Basic Concepts.mp4
90 MB
5. Word Embeddings using GloVe/2. Matrix Factorization for Recommender Systems - Basic Concepts.vtt
23 kB
5. Word Embeddings using GloVe/3. Matrix Factorization Training.mp4
29 MB
5. Word Embeddings using GloVe/3. Matrix Factorization Training.vtt
8.8 kB
5. Word Embeddings using GloVe/4. Expanding the Matrix Factorization Model.mp4
41 MB
5. Word Embeddings using GloVe/4. Expanding the Matrix Factorization Model.vtt
10 kB
5. Word Embeddings using GloVe/5. Regularization for Matrix Factorization.mp4
22 MB
5. Word Embeddings using GloVe/5. Regularization for Matrix Factorization.vtt
6.5 kB
5. Word Embeddings using GloVe/6. GloVe - Global Vectors for Word Representation.mp4
7.1 MB
5. Word Embeddings using GloVe/6. GloVe - Global Vectors for Word Representation.vtt
5.1 kB
5. Word Embeddings using GloVe/7. Recap of ways to train GloVe.mp4
16 MB
5. Word Embeddings using GloVe/7. Recap of ways to train GloVe.vtt
2.9 kB
5. Word Embeddings using GloVe/8. GloVe in Code - Numpy Gradient Descent.mp4
42 MB
5. Word Embeddings using GloVe/8. GloVe in Code - Numpy Gradient Descent.vtt
13 kB
5. Word Embeddings using GloVe/9. GloVe in Code - Alternating Least Squares.mp4
12 MB
5. Word Embeddings using GloVe/9. GloVe in Code - Alternating Least Squares.vtt
2.7 kB
6. Unifying Word2Vec and GloVe/1. Pointwise Mutual Information - Word2Vec as Matrix Factorization.mp4
53 MB
6. Unifying Word2Vec and GloVe/1. Pointwise Mutual Information - Word2Vec as Matrix Factorization.vtt
14 kB
6. Unifying Word2Vec and GloVe/2. PMI in Code.mp4
73 MB
6. Unifying Word2Vec and GloVe/2. PMI in Code.vtt
7.4 kB
7. Using Neural Networks to Solve NLP Problems/1. Parts-of-Speech (POS) Tagging.mp4
7.8 MB
7. Using Neural Networks to Solve NLP Problems/1. Parts-of-Speech (POS) Tagging.vtt
5.9 kB
7. Using Neural Networks to Solve NLP Problems/10. Named Entity Recognition Baseline.mp4
15 MB
7. Using Neural Networks to Solve NLP Problems/10. Named Entity Recognition Baseline.vtt
3.9 kB
7. Using Neural Networks to Solve NLP Problems/11. Named Entity Recognition RNN in Theano.mp4
5.4 MB
7. Using Neural Networks to Solve NLP Problems/11. Named Entity Recognition RNN in Theano.vtt
1.5 kB
7. Using Neural Networks to Solve NLP Problems/12. Named Entity Recognition RNN in Tensorflow.mp4
28 MB
7. Using Neural Networks to Solve NLP Problems/12. Named Entity Recognition RNN in Tensorflow.vtt
2.1 kB
7. Using Neural Networks to Solve NLP Problems/13. Hyperparameter Challenge II.mp4
3.8 MB
7. Using Neural Networks to Solve NLP Problems/13. Hyperparameter Challenge II.vtt
2.8 kB
7. Using Neural Networks to Solve NLP Problems/2. How can neural networks be used to solve POS tagging.mp4
17 MB
7. Using Neural Networks to Solve NLP Problems/2. How can neural networks be used to solve POS tagging.vtt
4.8 kB
7. Using Neural Networks to Solve NLP Problems/3. Parts-of-Speech Tagging Baseline.mp4
40 MB
7. Using Neural Networks to Solve NLP Problems/3. Parts-of-Speech Tagging Baseline.vtt
11 kB
7. Using Neural Networks to Solve NLP Problems/4. Parts-of-Speech Tagging Recurrent Neural Network in Theano.mp4
35 MB
7. Using Neural Networks to Solve NLP Problems/4. Parts-of-Speech Tagging Recurrent Neural Network in Theano.vtt
8.0 kB
7. Using Neural Networks to Solve NLP Problems/5. Parts-of-Speech Tagging Recurrent Neural Network in Tensorflow.mp4
130 MB
7. Using Neural Networks to Solve NLP Problems/5. Parts-of-Speech Tagging Recurrent Neural Network in Tensorflow.vtt
14 kB
7. Using Neural Networks to Solve NLP Problems/6. How does an HMM solve POS tagging.mp4
45 MB
7. Using Neural Networks to Solve NLP Problems/6. How does an HMM solve POS tagging.vtt
9.6 kB
7. Using Neural Networks to Solve NLP Problems/7. Parts-of-Speech Tagging Hidden Markov Model (HMM).mp4
14 MB
7. Using Neural Networks to Solve NLP Problems/7. Parts-of-Speech Tagging Hidden Markov Model (HMM).vtt
4.6 kB
7. Using Neural Networks to Solve NLP Problems/8. Named Entity Recognition (NER).mp4
5.0 MB
7. Using Neural Networks to Solve NLP Problems/8. Named Entity Recognition (NER).vtt
3.8 kB
7. Using Neural Networks to Solve NLP Problems/9. Comparing NER and POS tagging.mp4
14 MB
7. Using Neural Networks to Solve NLP Problems/9. Comparing NER and POS tagging.vtt
2.3 kB
8. Recursive Neural Networks (Tree Neural Networks)/1. Recursive Neural Networks Section Introduction.mp4
37 MB
8. Recursive Neural Networks (Tree Neural Networks)/1. Recursive Neural Networks Section Introduction.vtt
8.4 kB
8. Recursive Neural Networks (Tree Neural Networks)/10. RNTN in Tensorflow (Code).mp4
133 MB
8. Recursive Neural Networks (Tree Neural Networks)/10. RNTN in Tensorflow (Code).vtt
12 kB
8. Recursive Neural Networks (Tree Neural Networks)/11. Recursive Neural Network in TensorFlow with Recursion.mp4
13 MB
8. Recursive Neural Networks (Tree Neural Networks)/11. Recursive Neural Network in TensorFlow with Recursion.vtt
4.8 kB
8. Recursive Neural Networks (Tree Neural Networks)/2. Sentences as Trees.mp4
24 MB
8. Recursive Neural Networks (Tree Neural Networks)/2. Sentences as Trees.vtt
6.2 kB
8. Recursive Neural Networks (Tree Neural Networks)/3. Data Description for Recursive Neural Networks.mp4
12 MB
8. Recursive Neural Networks (Tree Neural Networks)/3. Data Description for Recursive Neural Networks.vtt
8.9 kB
8. Recursive Neural Networks (Tree Neural Networks)/4. What are Recursive Neural Networks Tree Neural Networks (TNNs).mp4
9.5 MB
8. Recursive Neural Networks (Tree Neural Networks)/4. What are Recursive Neural Networks Tree Neural Networks (TNNs).vtt
7.1 kB
8. Recursive Neural Networks (Tree Neural Networks)/5. Building a TNN with Recursion.mp4
8.1 MB
8. Recursive Neural Networks (Tree Neural Networks)/5. Building a TNN with Recursion.vtt
6.0 kB
8. Recursive Neural Networks (Tree Neural Networks)/6. Trees to Sequences.mp4
11 MB
8. Recursive Neural Networks (Tree Neural Networks)/6. Trees to Sequences.vtt
8.0 kB
8. Recursive Neural Networks (Tree Neural Networks)/7. Recursive Neural Network in Theano.mp4
52 MB
8. Recursive Neural Networks (Tree Neural Networks)/7. Recursive Neural Network in Theano.vtt
14 kB
8. Recursive Neural Networks (Tree Neural Networks)/8. Recursive Neural Tensor Networks.mp4
11 MB
8. Recursive Neural Networks (Tree Neural Networks)/8. Recursive Neural Tensor Networks.vtt
7.6 kB
8. Recursive Neural Networks (Tree Neural Networks)/9. RNTN in Tensorflow (Tips).mp4
50 MB
8. Recursive Neural Networks (Tree Neural Networks)/9. RNTN in Tensorflow (Tips).vtt
14 kB
9. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4
93 MB
9. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.vtt
6.3 kB
9. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4
87 MB
9. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.vtt
3.3 kB
9. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4
81 MB
9. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.vtt
5.1 kB
9. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4
97 MB
9. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.vtt
4.8 kB