Udemy - Natural Language Processing with Deep Learning in Python

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[FreeCourseLab.com] Udemy - Natural Language Processing with Deep Learning in Python 1. Outline, Review, and Logistical Things
  • 1. Introduction, Outline, and Review.mp4 (37.1 MB)
  • 1. Introduction, Outline, and Review.vtt (7.7 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. How to Succeed in this Course.mp4 (3.3 MB)
  • 3. How to Succeed in this Course.vtt (3.5 KB)
  • 4. Tensorflow or Theano - Your Choice!.mp4 (18.6 MB)
  • 4. Tensorflow or Theano - Your Choice!.vtt (4.8 KB)
10. Legacy Word2vec Lectures
  • 1. (Legacy) What is a word embedding.mp4 (18.0 MB)
  • 1. (Legacy) What is a word embedding.vtt (12.4 KB)
  • 2. (Legacy) Using pre-trained word embeddings.mp4 (4.1 MB)
  • 2. (Legacy) Using pre-trained word embeddings.vtt (2.9 KB)
  • 3. (Legacy) Word analogies using word embeddings.mp4 (6.6 MB)
  • 3. (Legacy) Word analogies using word embeddings.vtt (4.9 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)
  • 5. (Legacy) Word2Vec introduction.mp4 (8.8 MB)
  • 5. (Legacy) Word2Vec introduction.vtt (6.1 KB)
11. Appendix
  • 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 (4.0 MB)
  • 10. BONUS Where to get Udemy coupons and FREE deep learning material.vtt (3.0 KB)
  • 11. Python 2 vs Python 3.mp4 (7.8 MB)
  • 11. Python 2 vs Python 3.vtt (5.4 KB)
  • 12. Is Theano Dead.mp4 (17.8 MB)
  • 12. Is Theano Dead.vtt (17.8 MB)
  • 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. 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)
  • 2. How to install wp2txt or WikiExtractor.py.mp4 (3.8 MB)
  • 2. How to install wp2txt or WikiExtractor.py.vtt (2.9 KB)
  • 3. Windows-Focused Environment Setup 2018.mp4 (186.4 MB)
  • 3. Windows-Focused Environment Setup 2018.vtt (17.4 KB)
  • 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)
  • 5. How to Code by Yourself (part 1).mp4 (24.5 MB)
  • 5. How to Code by Yourself (part 1).vtt (19.8 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)
  • 7. How to Succeed in this Course (Long Version).mp4 (13.0 MB)
  • 7. How to Succeed in this Course (Long Version).vtt (12.9 KB)
  • 8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 (39.0 MB)
  • 8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt (27.8 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)
2. Beginner's Corner Working with Word Vectors
  • 1. What are vectors.mp4 (35.3 MB)
  • 1. What are vectors.vtt (9.1 KB)
  • 2. What is a word analogy.mp4 (31.2 MB)
  • 2. What is a word analogy.vtt (9.0 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)
  • 4. Pretrained word vectors from GloVe.mp4 (97.5 MB)
  • 4. Pretrained word vectors from GloVe.vtt (12.3 KB)
  • 5. Pretrained word vectors from word2vec.mp4 (63.2 MB)
  • 5. Pretrained word vectors from word2vec.vtt (63.3 MB)
  • 6. Text Classification with word vectors.mp4 (20.6 MB)
  • 6. Text Classification with word vectors.vtt (4.8 KB)
  • 7. Text Classification in Code.mp4 (54.6 MB)
  • 7. Text Classification in Code.vtt (6.4 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)
3. Review of Language Modeling and Neural Networks
  • 1. Review Section Intro.mp4 (5.5 MB)
  • 1. Review Section Intro.vtt (3.8 KB)
  • 10. Review Section Summary.mp4 (3.0 MB)
  • 10. Review Section Summary.vtt (3.8 KB)
  • 2. Bigrams and Language Models.mp4 (12.2 MB)
  • 2. Bigrams and Language Models.vtt (15.1 KB)
  • 3. Bigrams in Code.mp4 (17.9 MB)
  • 3. Bigrams in Code.vtt (15.1 KB)
  • 4. Neural Bigram Model.mp4 (39.7 MB)
  • 4. Neural Bigram Model.vtt (8.5 KB)
  • 5. Neural Bigram Model in Code.mp4 (8.3 MB)
  • 5. Neural Bigram Model in Code.vtt (6.9 KB)
  • 6. Neural Network Bigram Model.mp4 (8.0 MB)
  • 6. Neural Network Bigram Model.vtt (9.9 KB)
  • 7. Neural Network Bigram Model in Code.mp4 (5.2 MB)
  • 7. Neural Network Bigram Model in Code.vtt (3.5 KB)
  • 8. Improving Efficiency.mp4 (11.9 MB)
  • 8. Improving Efficiency.vtt (15.3 KB)
  • 9. Improving Efficiency in Code.mp4 (6.8 MB)
  • 9. Improving Efficiency in Code.vtt (5.0 KB)
4. Word Embeddings and Word2Vec
  • 1. Return of the Bigram.mp4 (11.5 MB)
  • 1. Return of the Bigram.vtt (3.3 KB)
  • 10. Word2Vec in Code with Numpy.mp4 (108.2 MB)
  • 10. Word2Vec in Code with Numpy.vtt (10.3 KB)
  • 11. Word2Vec Tensorflow Implementation Details.mp4 (12.8 MB)
  • 11. Word2Vec Tensorflow Implementation Details.vtt (12.8 MB)
  • 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)
  • 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 (7.0 KB)

Description

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.

For more Udemy Courses: https://freecourselab.com



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Udemy - Natural Language Processing with Deep Learning in Python

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3.5 GB
seeders:5
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Udemy - Natural Language Processing with Deep Learning in Python

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