DesireCourse Net Udemy Natural Language Processing with Deep Learning in Python

DesireCourse Net Udemy Natural Language Processing with Deep Learning in Python

Name	[DesireCourse.Net] Udemy - Natural Language Processing with Deep Learning in Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	3.4 GB
Total Files	207
Hash	655E7A77C26296F47D47007E2EB21AA51ED3E3FB

/1. Outline, Review, and Logistical Things/
1. Introduction, Outline, and Review.mp4	38.9 MB
1. Introduction, Outline, and Review.srt	8.9 KB
2. How to Succeed in this Course.mp4	3.5 MB
2. How to Succeed in this Course.srt	4.1 KB
3. Tensorflow or Theano - Your Choice!.mp4	19.5 MB
3. Tensorflow or Theano - Your Choice!.srt	5.5 KB
4. Where to get the code data for this course.mp4	6.8 MB
4. Where to get the code data for this course.srt	2.3 KB
5. Preprocessed Wikipedia Data.mp4	22.6 MB
5. Preprocessed Wikipedia Data.srt	3.9 KB
/10. Legacy Word2vec Lectures/
1. (Legacy) What is a word embedding.mp4	18.9 MB
1. (Legacy) What is a word embedding.srt	14.1 KB
2. (Legacy) Using pre-trained word embeddings.mp4	4.3 MB
2. (Legacy) Using pre-trained word embeddings.srt	3.2 KB
3. (Legacy) Word analogies using word embeddings.mp4	6.9 MB
3. (Legacy) Word analogies using word embeddings.srt	5.6 KB
4. (Legacy) TF-IDF and t-SNE experiment.mp4	28.0 MB
4. (Legacy) TF-IDF and t-SNE experiment.srt	13.2 KB
5. (Legacy) Word2Vec introduction.mp4	9.3 MB
5. (Legacy) Word2Vec introduction.srt	7.0 KB
/11. Appendix FAQ/
1. What is the Appendix.mp4	5.7 MB
1. What is the Appendix.srt	3.8 KB
10. Proof that using Jupyter Notebook is the same as not using it.mp4	82.1 MB
10. Proof that using Jupyter Notebook is the same as not using it.srt	14.5 KB
11. BONUS Where to get Udemy coupons and FREE deep learning material.mp4	39.7 MB
11. BONUS Where to get Udemy coupons and FREE deep learning material.srt	8.1 KB
12. Python 2 vs Python 3.mp4	8.2 MB
12. Python 2 vs Python 3.srt	6.2 KB
13. Is Theano Dead.mp4	18.7 MB
13. Is Theano Dead.srt	13.2 KB
14. What order should I take your courses in (part 1).mp4	30.8 MB
14. What order should I take your courses in (part 1).srt	16.4 KB
15. What order should I take your courses in (part 2).mp4	39.4 MB
15. What order should I take your courses in (part 2).srt	23.6 KB
2. How to install wp2txt or WikiExtractor.py.mp4	4.0 MB
2. How to install wp2txt or WikiExtractor.py.srt	3.4 KB
3. How to Uncompress a .tar.gz file.mp4	13.5 MB
3. How to Uncompress a .tar.gz file.srt	4.2 KB
4. Windows-Focused Environment Setup 2018.mp4	195.4 MB
4. Windows-Focused Environment Setup 2018.srt	20.6 KB
5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	46.0 MB
5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt	14.8 KB
6. How to Code by Yourself (part 1).mp4	25.7 MB
6. How to Code by Yourself (part 1).srt	23.3 KB
7. How to Code by Yourself (part 2).mp4	15.5 MB
7. How to Code by Yourself (part 2).srt	13.6 KB
8. How to Succeed in this Course (Long Version).mp4	13.6 MB
8. How to Succeed in this Course (Long Version).srt	15.0 KB
9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	40.9 MB
9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt	32.5 KB
/2. Beginner's Corner Working with Word Vectors/
1. What are vectors.mp4	37.1 MB
1. What are vectors.srt	10.6 KB
2. What is a word analogy.mp4	32.7 MB
2. What is a word analogy.srt	10.5 KB
3. Trying to find and assess word vectors using TF-IDF and t-SNE.mp4	33.7 MB
3. Trying to find and assess word vectors using TF-IDF and t-SNE.srt	8.6 KB
4. Pretrained word vectors from GloVe.mp4	102.2 MB
4. Pretrained word vectors from GloVe.srt	14.6 KB
5. Pretrained word vectors from word2vec.mp4	66.3 MB
5. Pretrained word vectors from word2vec.srt	8.3 KB
6. Text Classification with word vectors.mp4	21.6 MB
6. Text Classification with word vectors.srt	5.6 KB
7. Text Classification in Code.mp4	57.2 MB
7. Text Classification in Code.srt	7.5 KB
8. Using pretrained vectors later in the course.mp4	14.6 MB
8. Using pretrained vectors later in the course.srt	4.4 KB
/3. Review of Language Modeling and Neural Networks/
1. Review Section Intro.mp4	5.8 MB
1. Review Section Intro.srt	4.4 KB
10. Review Section Summary.mp4	3.1 MB
10. Review Section Summary.srt	4.4 KB
2. Bigrams and Language Models.mp4	12.8 MB
2. Bigrams and Language Models.srt	17.7 KB
3. Bigrams in Code.mp4	18.7 MB
3. Bigrams in Code.srt	17.8 KB
4. Neural Bigram Model.mp4	41.7 MB
4. Neural Bigram Model.srt	9.9 KB
5. Neural Bigram Model in Code.mp4	8.7 MB
5. Neural Bigram Model in Code.srt	8.1 KB
6. Neural Network Bigram Model.mp4	8.4 MB
6. Neural Network Bigram Model.srt	11.6 KB
7. Neural Network Bigram Model in Code.mp4	5.4 MB
7. Neural Network Bigram Model in Code.srt	4.1 KB
8. Improving Efficiency.mp4	12.5 MB
8. Improving Efficiency.srt	18.0 KB
9. Improving Efficiency in Code.mp4	7.1 MB
9. Improving Efficiency in Code.srt	5.8 KB
/4. Word Embeddings and Word2Vec/
1. Return of the Bigram.mp4	12.1 MB
1. Return of the Bigram.srt	3.9 KB
10. Word2Vec in Code with Numpy.mp4	113.5 MB
10. Word2Vec in Code with Numpy.srt	11.9 KB
11. Word2Vec Tensorflow Implementation Details.mp4	13.5 MB
11. Word2Vec Tensorflow Implementation Details.srt	5.1 KB
12. Word2Vec Tensorflow in Code.mp4	46.3 MB
12. Word2Vec Tensorflow in Code.srt	3.7 KB
13. How to update only part of a Theano shared variable.mp4	9.6 MB
13. How to update only part of a Theano shared variable.srt	7.9 KB
14. Word2Vec in Code with Theano.mp4	32.6 MB
14. Word2Vec in Code with Theano.srt	7.4 KB
15. Alternative to Wikipedia Data Brown Corpus.mp4	13.1 MB
15. Alternative to Wikipedia Data Brown Corpus.srt	8.2 KB
2. CBOW.mp4	38.3 MB
2. CBOW.srt	10.5 KB
3. Skip-Gram.mp4	16.9 MB
3. Skip-Gram.srt	5.3 KB
4. Hierarchical Softmax.mp4	32.8 MB
4. Hierarchical Softmax.srt	11.1 KB
5. Negative Sampling.mp4	62.1 MB
5. Negative Sampling.srt	18.5 KB
6. Negative Sampling - Important Details.mp4	19.6 MB
6. Negative Sampling - Important Details.srt	6.8 KB
7. Why do I have 2 word embedding matrices and what do I do with them.mp4	5.8 MB
7. Why do I have 2 word embedding matrices and what do I do with them.srt	3.0 KB
8. Word2Vec implementation tricks.mp4	16.4 MB
8. Word2Vec implementation tricks.srt	6.3 KB
9. Word2Vec implementation outline.mp4	15.2 MB
9. Word2Vec implementation outline.srt	5.7 KB
/5. Word Embeddings using GloVe/
1. GloVe Section Introduction.mp4	18.1 MB
1. GloVe Section Introduction.srt	3.0 KB
10. GloVe in Code - Theano Gradient Descent.mp4	46.2 MB
10. GloVe in Code - Theano Gradient Descent.srt	2.8 KB
11. GloVe in Tensorflow with Gradient Descent.mp4	78.5 MB
11. GloVe in Tensorflow with Gradient Descent.srt	8.0 KB
12. Visualizing country analogies with t-SNE.mp4	9.6 MB
12. Visualizing country analogies with t-SNE.srt	3.7 KB
13. Hyperparameter Challenge.mp4	4.2 MB
13. Hyperparameter Challenge.srt	3.3 KB
14. Training GloVe with SVD (Singular Value Decomposition).mp4	54.5 MB
14. Training GloVe with SVD (Singular Value Decomposition).srt	12.7 KB
2. Matrix Factorization for Recommender Systems - Basic Concepts.mp4	94.6 MB
2. Matrix Factorization for Recommender Systems - Basic Concepts.srt	27.6 KB
3. Matrix Factorization Training.mp4	30.2 MB
3. Matrix Factorization Training.srt	10.3 KB
4. Expanding the Matrix Factorization Model.mp4	42.9 MB
4. Expanding the Matrix Factorization Model.srt	12.0 KB
5. Regularization for Matrix Factorization.mp4	23.4 MB
5. Regularization for Matrix Factorization.srt	7.6 KB
6. GloVe - Global Vectors for Word Representation.mp4	7.4 MB
6. GloVe - Global Vectors for Word Representation.srt	5.8 KB
7. Recap of ways to train GloVe.mp4	16.8 MB
7. Recap of ways to train GloVe.srt	3.3 KB
8. GloVe in Code - Numpy Gradient Descent.mp4	43.9 MB
8. GloVe in Code - Numpy Gradient Descent.srt	15.0 KB
9. GloVe in Code - Alternating Least Squares.mp4	12.2 MB
9. GloVe in Code - Alternating Least Squares.srt	3.1 KB
/6. Unifying Word2Vec and GloVe/
1. Pointwise Mutual Information - Word2Vec as Matrix Factorization.mp4	55.9 MB
1. Pointwise Mutual Information - Word2Vec as Matrix Factorization.srt	15.9 KB
2. PMI in Code.mp4	76.7 MB
2. PMI in Code.srt	8.6 KB
/7. Using Neural Networks to Solve NLP Problems/
1. Parts-of-Speech (POS) Tagging.mp4	8.1 MB
1. Parts-of-Speech (POS) Tagging.srt	6.9 KB
10. Named Entity Recognition Baseline.mp4	15.6 MB
10. Named Entity Recognition Baseline.srt	4.6 KB
11. Named Entity Recognition RNN in Theano.mp4	5.7 MB
11. Named Entity Recognition RNN in Theano.srt	1.7 KB
12. Named Entity Recognition RNN in Tensorflow.mp4	29.9 MB
12. Named Entity Recognition RNN in Tensorflow.srt	2.5 KB
13. Hyperparameter Challenge II.mp4	4.0 MB
13. Hyperparameter Challenge II.srt	3.2 KB
2. How can neural networks be used to solve POS tagging.mp4	17.7 MB
2. How can neural networks be used to solve POS tagging.srt	5.6 KB
3. Parts-of-Speech Tagging Baseline.mp4	41.8 MB
3. Parts-of-Speech Tagging Baseline.srt	12.5 KB
4. Parts-of-Speech Tagging Recurrent Neural Network in Theano.mp4	36.5 MB
4. Parts-of-Speech Tagging Recurrent Neural Network in Theano.srt	9.4 KB
5. Parts-of-Speech Tagging Recurrent Neural Network in Tensorflow.mp4	135.7 MB
5. Parts-of-Speech Tagging Recurrent Neural Network in Tensorflow.srt	16.6 KB
6. How does an HMM solve POS tagging.mp4	47.4 MB
6. How does an HMM solve POS tagging.srt	11.2 KB
7. Parts-of-Speech Tagging Hidden Markov Model (HMM).mp4	15.1 MB
7. Parts-of-Speech Tagging Hidden Markov Model (HMM).srt	5.3 KB
8. Named Entity Recognition (NER).mp4	5.2 MB
8. Named Entity Recognition (NER).srt	4.4 KB
9. Comparing NER and POS tagging.mp4	15.0 MB
9. Comparing NER and POS tagging.srt	2.7 KB
/8. Recursive Neural Networks (Tree Neural Networks)/
1. Recursive Neural Networks Section Introduction.mp4	39.2 MB
1. Recursive Neural Networks Section Introduction.srt	9.7 KB
10. RNTN in Tensorflow (Code).mp4	139.9 MB
10. RNTN in Tensorflow (Code).srt	13.7 KB
11. Recursive Neural Network in TensorFlow with Recursion.mp4	13.4 MB
11. Recursive Neural Network in TensorFlow with Recursion.srt	5.5 KB
2. Sentences as Trees.mp4	25.4 MB
2. Sentences as Trees.srt	7.2 KB
3. Data Description for Recursive Neural Networks.mp4	12.1 MB
3. Data Description for Recursive Neural Networks.srt	10.1 KB
4. What are Recursive Neural Networks Tree Neural Networks (TNNs).mp4	10.0 MB
4. What are Recursive Neural Networks Tree Neural Networks (TNNs).srt	8.0 KB
5. Building a TNN with Recursion.mp4	8.5 MB
5. Building a TNN with Recursion.srt	6.8 KB
6. Trees to Sequences.mp4	11.7 MB
6. Trees to Sequences.srt	9.2 KB
7. Recursive Neural Network in Theano.mp4	55.1 MB
7. Recursive Neural Network in Theano.srt	16.5 KB
8. Recursive Neural Tensor Networks.mp4	11.6 MB
8. Recursive Neural Tensor Networks.srt	8.7 KB
9. RNTN in Tensorflow (Tips).mp4	51.9 MB
9. RNTN in Tensorflow (Tips).srt	16.1 KB
/9. Theano and Tensorflow Basics Review/
1. (Review) Theano Basics.mp4	98.0 MB
1. (Review) Theano Basics.srt	7.4 KB
2. (Review) Theano Neural Network in Code.mp4	91.3 MB
2. (Review) Theano Neural Network in Code.srt	3.9 KB
3. (Review) Tensorflow Basics.mp4	85.4 MB
3. (Review) Tensorflow Basics.srt	6.0 KB
4. (Review) Tensorflow Neural Network in Code.mp4	102.1 MB
4. (Review) Tensorflow Neural Network in Code.srt	5.6 KB
/
[CourseClub.Me].url	0.0 KB
[DesireCourse.Net].url	0.1 KB
[FreeCourseWorld.Com].url	0.1 KB
Total files 207