[DesireCourse.Net] Udemy - Natural Language Processing with Deep Learning in Python

Torrent Hash:
655E7A77C26296F47D47007E2EB21AA51ED3E3FB
Number of Files:
207
Content Size:
3.19GB
Convert On:
2020-01-11
Magnet Link:
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File Name
Size
1. Outline, Review, and Logistical Things/1. Introduction, Outline, and Review.mp4
37.12MB
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1. Outline, Review, and Logistical Things/1. Introduction, Outline, and Review.srt
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1. Outline, Review, and Logistical Things/2. How to Succeed in this Course.mp4
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1. Outline, Review, and Logistical Things/2. How to Succeed in this Course.srt
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1. Outline, Review, and Logistical Things/3. Tensorflow or Theano - Your Choice!.mp4
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1. Outline, Review, and Logistical Things/3. Tensorflow or Theano - Your Choice!.srt
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1. Outline, Review, and Logistical Things/4. Where to get the code data for this course.mp4
6.5MB
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1. Outline, Review, and Logistical Things/4. Where to get the code data for this course.srt
2.23KB
1. Outline, Review, and Logistical Things/5. Preprocessed Wikipedia Data.mp4
21.56MB
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1. Outline, Review, and Logistical Things/5. Preprocessed Wikipedia Data.srt
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10. Legacy Word2vec Lectures/1. (Legacy) What is a word embedding.mp4
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10. Legacy Word2vec Lectures/1. (Legacy) What is a word embedding.srt
13.77KB
10. Legacy Word2vec Lectures/2. (Legacy) Using pre-trained word embeddings.mp4
4.06MB
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10. Legacy Word2vec Lectures/2. (Legacy) Using pre-trained word embeddings.srt
3.14KB
10. Legacy Word2vec Lectures/3. (Legacy) Word analogies using word embeddings.mp4
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10. Legacy Word2vec Lectures/3. (Legacy) Word analogies using word embeddings.srt
5.45KB
10. Legacy Word2vec Lectures/4. (Legacy) TF-IDF and t-SNE experiment.mp4
26.75MB
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10. Legacy Word2vec Lectures/4. (Legacy) TF-IDF and t-SNE experiment.srt
12.88KB
10. Legacy Word2vec Lectures/5. (Legacy) Word2Vec introduction.mp4
8.83MB
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10. Legacy Word2vec Lectures/5. (Legacy) Word2Vec introduction.srt
6.8KB
11. Appendix FAQ/1. What is the Appendix.mp4
5.45MB
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11. Appendix FAQ/1. What is the Appendix.srt
3.72KB
11. Appendix FAQ/10. Proof that using Jupyter Notebook is the same as not using it.mp4
78.27MB
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11. Appendix FAQ/10. Proof that using Jupyter Notebook is the same as not using it.srt
14.12KB
11. Appendix FAQ/11. BONUS Where to get Udemy coupons and FREE deep learning material.mp4
37.83MB
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11. Appendix FAQ/11. BONUS Where to get Udemy coupons and FREE deep learning material.srt
7.87KB
11. Appendix FAQ/12. Python 2 vs Python 3.mp4
7.84MB
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11. Appendix FAQ/12. Python 2 vs Python 3.srt
6.1KB
11. Appendix FAQ/13. Is Theano Dead.mp4
17.81MB
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11. Appendix FAQ/13. Is Theano Dead.srt
12.92KB
11. Appendix FAQ/14. What order should I take your courses in (part 1).mp4
29.33MB
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11. Appendix FAQ/14. What order should I take your courses in (part 1).srt
16.03KB
11. Appendix FAQ/15. What order should I take your courses in (part 2).mp4
37.62MB
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11. Appendix FAQ/15. What order should I take your courses in (part 2).srt
23.04KB
11. Appendix FAQ/2. How to install wp2txt or WikiExtractor.py.mp4
3.78MB
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11. Appendix FAQ/2. How to install wp2txt or WikiExtractor.py.srt
3.29KB
11. Appendix FAQ/3. How to Uncompress a .tar.gz file.mp4
12.89MB
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4.12KB
11. Appendix FAQ/4. Windows-Focused Environment Setup 2018.mp4
186.38MB
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11. Appendix FAQ/4. Windows-Focused Environment Setup 2018.srt
20.1KB
11. Appendix FAQ/5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
43.92MB
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11. Appendix FAQ/5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
14.48KB
11. Appendix FAQ/6. How to Code by Yourself (part 1).mp4
24.53MB
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22.75KB
11. Appendix FAQ/7. How to Code by Yourself (part 2).mp4
14.8MB
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13.26KB
11. Appendix FAQ/8. How to Succeed in this Course (Long Version).mp4
12.99MB
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11. Appendix FAQ/8. How to Succeed in this Course (Long Version).srt
14.66KB
11. Appendix FAQ/9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
38.96MB
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31.79KB
2. Beginner's Corner Working with Word Vectors/1. What are vectors.mp4
35.34MB
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10.32KB
2. Beginner's Corner Working with Word Vectors/2. What is a word analogy.mp4
31.21MB
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2. Beginner's Corner Working with Word Vectors/3. Trying to find and assess word vectors using TF-IDF and t-SNE.mp4
32.13MB
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2. Beginner's Corner Working with Word Vectors/4. Pretrained word vectors from GloVe.mp4
97.5MB
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2. Beginner's Corner Working with Word Vectors/5. Pretrained word vectors from word2vec.mp4
63.25MB
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2. Beginner's Corner Working with Word Vectors/7. Text Classification in Code.mp4
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2. Beginner's Corner Working with Word Vectors/8. Using pretrained vectors later in the course.mp4
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4. Word Embeddings and Word2Vec/2. CBOW.mp4
36.51MB
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4. Word Embeddings and Word2Vec/2. CBOW.srt
10.25KB
4. Word Embeddings and Word2Vec/3. Skip-Gram.mp4
16.07MB
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4. Word Embeddings and Word2Vec/3. Skip-Gram.srt
5.13KB
4. Word Embeddings and Word2Vec/4. Hierarchical Softmax.mp4
31.25MB
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4. Word Embeddings and Word2Vec/4. Hierarchical Softmax.srt
10.8KB
4. Word Embeddings and Word2Vec/5. Negative Sampling.mp4
59.18MB
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4. Word Embeddings and Word2Vec/5. Negative Sampling.srt
18.07KB
4. Word Embeddings and Word2Vec/6. Negative Sampling - Important Details.mp4
18.67MB
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4. Word Embeddings and Word2Vec/6. Negative Sampling - Important Details.srt
6.68KB
4. Word Embeddings and Word2Vec/7. Why do I have 2 word embedding matrices and what do I do with them.mp4
5.49MB
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4. Word Embeddings and Word2Vec/7. Why do I have 2 word embedding matrices and what do I do with them.srt
2.92KB
4. Word Embeddings and Word2Vec/8. Word2Vec implementation tricks.mp4
15.68MB
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4. Word Embeddings and Word2Vec/8. Word2Vec implementation tricks.srt
6.12KB
4. Word Embeddings and Word2Vec/9. Word2Vec implementation outline.mp4
14.45MB
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4. Word Embeddings and Word2Vec/9. Word2Vec implementation outline.srt
5.57KB
5. Word Embeddings using GloVe/1. GloVe Section Introduction.mp4
17.23MB
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5. Word Embeddings using GloVe/1. GloVe Section Introduction.srt
2.92KB
5. Word Embeddings using GloVe/10. GloVe in Code - Theano Gradient Descent.mp4
44.03MB
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5. Word Embeddings using GloVe/10. GloVe in Code - Theano Gradient Descent.srt
2.69KB
5. Word Embeddings using GloVe/11. GloVe in Tensorflow with Gradient Descent.mp4
74.9MB
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5. Word Embeddings using GloVe/11. GloVe in Tensorflow with Gradient Descent.srt
7.82KB
5. Word Embeddings using GloVe/12. Visualizing country analogies with t-SNE.mp4
9.18MB
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5. Word Embeddings using GloVe/12. Visualizing country analogies with t-SNE.srt
3.64KB
5. Word Embeddings using GloVe/13. Hyperparameter Challenge.mp4
4.05MB
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5. Word Embeddings using GloVe/13. Hyperparameter Challenge.srt
3.21KB
5. Word Embeddings using GloVe/14. Training GloVe with SVD (Singular Value Decomposition).mp4
51.98MB
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5. Word Embeddings using GloVe/14. Training GloVe with SVD (Singular Value Decomposition).srt
12.39KB
5. Word Embeddings using GloVe/2. Matrix Factorization for Recommender Systems - Basic Concepts.mp4
90.17MB
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5. Word Embeddings using GloVe/2. Matrix Factorization for Recommender Systems - Basic Concepts.srt
26.94KB
5. Word Embeddings using GloVe/3. Matrix Factorization Training.mp4
28.75MB
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5. Word Embeddings using GloVe/3. Matrix Factorization Training.srt
10.07KB
5. Word Embeddings using GloVe/4. Expanding the Matrix Factorization Model.mp4
40.94MB
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5. Word Embeddings using GloVe/4. Expanding the Matrix Factorization Model.srt
11.71KB
5. Word Embeddings using GloVe/5. Regularization for Matrix Factorization.mp4
22.3MB
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7.42KB
5. Word Embeddings using GloVe/6. GloVe - Global Vectors for Word Representation.mp4
7.06MB
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15.99MB
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41.86MB
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14.66KB
5. Word Embeddings using GloVe/9. GloVe in Code - Alternating Least Squares.mp4
11.65MB
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3.03KB
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53.27MB
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15.55KB
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73.11MB
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8.42KB
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6.77KB
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14.91MB
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10.92KB
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14.39MB
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9. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4
97.36MB
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9. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.srt
5.51KB
[CourseClub.Me].url
48B
[DesireCourse.Net].url
51B
[FreeCourseWorld.Com].url
54B

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