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[DesireCourse.Net] Udemy - Natural Language Processing with Deep Learning in Python
magnet:?xt=urn:btih:655e7a77c26296f47d47007e2eb21aa51ed3e3fb&dn=[DesireCourse.Net] Udemy - Natural Language Processing with Deep Learning in Python
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Hash值:
655e7a77c26296f47d47007e2eb21aa51ed3e3fb
点击数:
293
文件大小:
3.19 GB
文件数量:
102
创建日期:
2021-2-11 07:25
最后访问:
2024-5-24 16:05
访问标签:
DesireCourse
Net
Udemy
-
Natural
Language
Processing
with
Deep
Learning
in
Python
文件列表详情
1. Outline, Review, and Logistical Things/1. Introduction, Outline, and Review.mp4 37.12 MB
1. Outline, Review, and Logistical Things/2. How to Succeed in this Course.mp4 3.3 MB
1. Outline, Review, and Logistical Things/3. Tensorflow or Theano - Your Choice!.mp4 18.58 MB
1. Outline, Review, and Logistical Things/4. Where to get the code data for this course.mp4 6.5 MB
1. Outline, Review, and Logistical Things/5. Preprocessed Wikipedia Data.mp4 21.56 MB
10. Legacy Word2vec Lectures/1. (Legacy) What is a word embedding.mp4 18 MB
10. Legacy Word2vec Lectures/2. (Legacy) Using pre-trained word embeddings.mp4 4.06 MB
10. Legacy Word2vec Lectures/3. (Legacy) Word analogies using word embeddings.mp4 6.61 MB
10. Legacy Word2vec Lectures/4. (Legacy) TF-IDF and t-SNE experiment.mp4 26.75 MB
10. Legacy Word2vec Lectures/5. (Legacy) Word2Vec introduction.mp4 8.83 MB
11. Appendix FAQ/1. What is the Appendix.mp4 5.45 MB
11. Appendix FAQ/10. Proof that using Jupyter Notebook is the same as not using it.mp4 78.27 MB
11. Appendix FAQ/11. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 37.83 MB
11. Appendix FAQ/12. Python 2 vs Python 3.mp4 7.84 MB
11. Appendix FAQ/13. Is Theano Dead.mp4 17.81 MB
11. Appendix FAQ/14. What order should I take your courses in (part 1).mp4 29.33 MB
11. Appendix FAQ/15. What order should I take your courses in (part 2).mp4 37.62 MB
11. Appendix FAQ/2. How to install wp2txt or WikiExtractor.py.mp4 3.78 MB
11. Appendix FAQ/3. How to Uncompress a .tar.gz file.mp4 12.89 MB
11. Appendix FAQ/4. Windows-Focused Environment Setup 2018.mp4 186.38 MB
11. Appendix FAQ/5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.92 MB
11. Appendix FAQ/6. How to Code by Yourself (part 1).mp4 24.53 MB
11. Appendix FAQ/7. How to Code by Yourself (part 2).mp4 14.8 MB
11. Appendix FAQ/8. How to Succeed in this Course (Long Version).mp4 12.99 MB
11. Appendix FAQ/9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 38.96 MB
2. Beginner's Corner Working with Word Vectors/1. What are vectors.mp4 35.34 MB
2. Beginner's Corner Working with Word Vectors/2. What is a word analogy.mp4 31.21 MB
2. Beginner's Corner Working with Word Vectors/3. Trying to find and assess word vectors using TF-IDF and t-SNE.mp4 32.13 MB
2. Beginner's Corner Working with Word Vectors/4. Pretrained word vectors from GloVe.mp4 97.5 MB
2. Beginner's Corner Working with Word Vectors/5. Pretrained word vectors from word2vec.mp4 63.25 MB
2. Beginner's Corner Working with Word Vectors/6. Text Classification with word vectors.mp4 20.62 MB
2. Beginner's Corner Working with Word Vectors/7. Text Classification in Code.mp4 54.59 MB
2. Beginner's Corner Working with Word Vectors/8. Using pretrained vectors later in the course.mp4 13.88 MB
3. Review of Language Modeling and Neural Networks/1. Review Section Intro.mp4 5.54 MB
3. Review of Language Modeling and Neural Networks/10. Review Section Summary.mp4 2.97 MB
3. Review of Language Modeling and Neural Networks/2. Bigrams and Language Models.mp4 12.23 MB
3. Review of Language Modeling and Neural Networks/3. Bigrams in Code.mp4 17.88 MB
3. Review of Language Modeling and Neural Networks/4. Neural Bigram Model.mp4 39.72 MB
3. Review of Language Modeling and Neural Networks/5. Neural Bigram Model in Code.mp4 8.31 MB
3. Review of Language Modeling and Neural Networks/6. Neural Network Bigram Model.mp4 8.04 MB
3. Review of Language Modeling and Neural Networks/7. Neural Network Bigram Model in Code.mp4 5.17 MB
3. Review of Language Modeling and Neural Networks/8. Improving Efficiency.mp4 11.93 MB
3. Review of Language Modeling and Neural Networks/9. Improving Efficiency in Code.mp4 6.74 MB
4. Word Embeddings and Word2Vec/1. Return of the Bigram.mp4 11.5 MB
4. Word Embeddings and Word2Vec/10. Word2Vec in Code with Numpy.mp4 108.24 MB
4. Word Embeddings and Word2Vec/11. Word2Vec Tensorflow Implementation Details.mp4 12.83 MB
4. Word Embeddings and Word2Vec/12. Word2Vec Tensorflow in Code.mp4 44.15 MB
4. Word Embeddings and Word2Vec/13. How to update only part of a Theano shared variable.mp4 9.18 MB
4. Word Embeddings and Word2Vec/14. Word2Vec in Code with Theano.mp4 31.05 MB
4. Word Embeddings and Word2Vec/15. Alternative to Wikipedia Data Brown Corpus.mp4 12.5 MB
4. Word Embeddings and Word2Vec/2. CBOW.mp4 36.51 MB
4. Word Embeddings and Word2Vec/3. Skip-Gram.mp4 16.07 MB
4. Word Embeddings and Word2Vec/4. Hierarchical Softmax.mp4 31.25 MB
4. Word Embeddings and Word2Vec/5. Negative Sampling.mp4 59.18 MB
4. Word Embeddings and Word2Vec/6. Negative Sampling - Important Details.mp4 18.67 MB
4. Word Embeddings and Word2Vec/7. Why do I have 2 word embedding matrices and what do I do with them.mp4 5.49 MB
4. Word Embeddings and Word2Vec/8. Word2Vec implementation tricks.mp4 15.68 MB
4. Word Embeddings and Word2Vec/9. Word2Vec implementation outline.mp4 14.45 MB
5. Word Embeddings using GloVe/1. GloVe Section Introduction.mp4 17.23 MB
5. Word Embeddings using GloVe/10. GloVe in Code - Theano Gradient Descent.mp4 44.03 MB
5. Word Embeddings using GloVe/11. GloVe in Tensorflow with Gradient Descent.mp4 74.9 MB
5. Word Embeddings using GloVe/12. Visualizing country analogies with t-SNE.mp4 9.18 MB
5. Word Embeddings using GloVe/13. Hyperparameter Challenge.mp4 4.05 MB
5. Word Embeddings using GloVe/14. Training GloVe with SVD (Singular Value Decomposition).mp4 51.98 MB
5. Word Embeddings using GloVe/2. Matrix Factorization for Recommender Systems - Basic Concepts.mp4 90.17 MB
5. Word Embeddings using GloVe/3. Matrix Factorization Training.mp4 28.75 MB
5. Word Embeddings using GloVe/4. Expanding the Matrix Factorization Model.mp4 40.94 MB
5. Word Embeddings using GloVe/5. Regularization for Matrix Factorization.mp4 22.3 MB
5. Word Embeddings using GloVe/6. GloVe - Global Vectors for Word Representation.mp4 7.06 MB
5. Word Embeddings using GloVe/7. Recap of ways to train GloVe.mp4 15.99 MB
5. Word Embeddings using GloVe/8. GloVe in Code - Numpy Gradient Descent.mp4 41.86 MB
5. Word Embeddings using GloVe/9. GloVe in Code - Alternating Least Squares.mp4 11.65 MB
6. Unifying Word2Vec and GloVe/1. Pointwise Mutual Information - Word2Vec as Matrix Factorization.mp4 53.27 MB
6. Unifying Word2Vec and GloVe/2. PMI in Code.mp4 73.11 MB
7. Using Neural Networks to Solve NLP Problems/1. Parts-of-Speech (POS) Tagging.mp4 7.75 MB
7. Using Neural Networks to Solve NLP Problems/10. Named Entity Recognition Baseline.mp4 14.91 MB
7. Using Neural Networks to Solve NLP Problems/11. Named Entity Recognition RNN in Theano.mp4 5.39 MB
7. Using Neural Networks to Solve NLP Problems/12. Named Entity Recognition RNN in Tensorflow.mp4 28.53 MB
7. Using Neural Networks to Solve NLP Problems/13. Hyperparameter Challenge II.mp4 3.83 MB
7. Using Neural Networks to Solve NLP Problems/2. How can neural networks be used to solve POS tagging.mp4 16.88 MB
7. Using Neural Networks to Solve NLP Problems/3. Parts-of-Speech Tagging Baseline.mp4 39.86 MB
7. Using Neural Networks to Solve NLP Problems/4. Parts-of-Speech Tagging Recurrent Neural Network in Theano.mp4 34.81 MB
7. Using Neural Networks to Solve NLP Problems/5. Parts-of-Speech Tagging Recurrent Neural Network in Tensorflow.mp4 129.45 MB
7. Using Neural Networks to Solve NLP Problems/6. How does an HMM solve POS tagging.mp4 45.23 MB
7. Using Neural Networks to Solve NLP Problems/7. Parts-of-Speech Tagging Hidden Markov Model (HMM).mp4 14.39 MB
7. Using Neural Networks to Solve NLP Problems/8. Named Entity Recognition (NER).mp4 4.95 MB
7. Using Neural Networks to Solve NLP Problems/9. Comparing NER and POS tagging.mp4 14.31 MB
8. Recursive Neural Networks (Tree Neural Networks)/1. Recursive Neural Networks Section Introduction.mp4 37.4 MB
8. Recursive Neural Networks (Tree Neural Networks)/10. RNTN in Tensorflow (Code).mp4 133.42 MB
8. Recursive Neural Networks (Tree Neural Networks)/11. Recursive Neural Network in TensorFlow with Recursion.mp4 12.75 MB
8. Recursive Neural Networks (Tree Neural Networks)/2. Sentences as Trees.mp4 24.19 MB
8. Recursive Neural Networks (Tree Neural Networks)/3. Data Description for Recursive Neural Networks.mp4 11.54 MB
8. Recursive Neural Networks (Tree Neural Networks)/4. What are Recursive Neural Networks Tree Neural Networks (TNNs).mp4 9.51 MB
8. Recursive Neural Networks (Tree Neural Networks)/5. Building a TNN with Recursion.mp4 8.09 MB
8. Recursive Neural Networks (Tree Neural Networks)/6. Trees to Sequences.mp4 11.16 MB
8. Recursive Neural Networks (Tree Neural Networks)/7. Recursive Neural Network in Theano.mp4 52.51 MB
8. Recursive Neural Networks (Tree Neural Networks)/8. Recursive Neural Tensor Networks.mp4 11.1 MB
8. Recursive Neural Networks (Tree Neural Networks)/9. RNTN in Tensorflow (Tips).mp4 49.5 MB
9. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4 93.44 MB
9. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4 87.03 MB
9. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4 81.45 MB
9. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 97.36 MB
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