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Название [FreeCourseSite.com] Udemy - Deep Learning Advanced NLP and RNNs
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[CourseClub.NET].url 123б
[FCS Forum].url 133б
[FreeCourseSite.com].url 127б
1. (Review) Keras Discussion.mp4 27.64Мб
1. (Review) Keras Discussion.vtt 8.05Кб
1. Attention Section Introduction.mp4 8.41Мб
1. Attention Section Introduction.vtt 2.65Кб
1. Bidirectional RNNs Motivation.mp4 33.35Мб
1. Bidirectional RNNs Motivation.vtt 9.23Кб
1. Introduction.mp4 14.42Мб
1. Introduction.vtt 3.34Кб
1. Memory Networks Section Introduction.mp4 39.23Мб
1. Memory Networks Section Introduction.vtt 11.06Кб
1. Review Section Introduction.mp4 20.75Мб
1. Review Section Introduction.vtt 5.29Кб
1. Seq2Seq Theory.mp4 32.51Мб
1. Seq2Seq Theory.vtt 8.11Кб
1. What is the Appendix.mp4 17.68Мб
1. What is the Appendix.vtt 3.27Кб
10. Different Types of RNN Tasks.mp4 56.79Мб
10. Different Types of RNN Tasks.vtt 13.46Кб
10. What order should I take your courses in (part 2).mp4 122.65Мб
10. What order should I take your courses in (part 2).vtt 20.29Кб
11. A Simple RNN Experiment.mp4 56.00Мб
11. A Simple RNN Experiment.vtt 6.65Кб
11. Python 2 vs Python 3.mp4 18.79Мб
11. Python 2 vs Python 3.vtt 5.34Кб
12. BONUS Where to get discount coupons and FREE deep learning material.mp4 13.07Мб
12. BONUS Where to get discount coupons and FREE deep learning material.vtt 2.99Кб
12. RNN Code.mp4 31.10Мб
12. RNN Code.vtt 3.70Кб
13. Review Section Summary.mp4 19.64Мб
13. Review Section Summary.vtt 5.59Кб
2. (Review) Keras Neural Network in Code.mp4 66.11Мб
2. (Review) Keras Neural Network in Code.vtt 6.47Кб
2. Attention Theory.mp4 61.82Мб
2. Attention Theory.vtt 20.86Кб
2. Bidirectional RNN Experiment.mp4 48.70Мб
2. Bidirectional RNN Experiment.vtt 5.18Кб
2. Memory Networks Theory.mp4 30.40Мб
2. Memory Networks Theory.vtt 10.70Кб
2. Outline.mp4 16.14Мб
2. Outline.vtt 5.21Кб
2. Seq2Seq Applications.mp4 16.12Мб
2. Seq2Seq Applications.vtt 3.83Кб
2. What is a word embedding.mp4 57.53Мб
2. What is a word embedding.vtt 16.66Кб
2. Windows-Focused Environment Setup 2018.mp4 193.26Мб
2. Windows-Focused Environment Setup 2018.vtt 17.38Кб
3. (Review) Keras Functional API.mp4 38.60Мб
3. (Review) Keras Functional API.vtt 4.70Кб
3. Bidirectional RNN Code.mp4 22.72Мб
3. Bidirectional RNN Code.vtt 2.42Кб
3. Decoding in Detail and Teacher Forcing.mp4 31.13Мб
3. Decoding in Detail and Teacher Forcing.vtt 7.55Кб
3. How to How to install Numpy, Theano, Tensorflow, etc....mp4 166.45Мб
3. How to How to install Numpy, Theano, Tensorflow, etc....vtt 12.41Кб
3. Memory Networks Code 1.mp4 79.62Мб
3. Memory Networks Code 1.vtt 8.40Кб
3. Teacher Forcing.mp4 7.18Мб
3. Teacher Forcing.vtt 2.25Кб
3. Using word embeddings.mp4 18.67Мб
3. Using word embeddings.vtt 5.39Кб
3. Where to get the code.mp4 19.58Мб
3. Where to get the code.vtt 5.73Кб
4. Helpful Implementation Details.mp4 40.88Мб
4. Helpful Implementation Details.vtt 13.11Кб
4. How to Succeed in this Course.mp4 17.41Мб
4. How to Succeed in this Course.vtt 3.49Кб
4. Image Classification with Bidirectional RNNs.mp4 32.78Мб
4. Image Classification with Bidirectional RNNs.vtt 6.75Кб
4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 115.85Мб
4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt 27.96Кб
4. Memory Networks Code 2.mp4 53.55Мб
4. Memory Networks Code 2.vtt 5.19Кб
4. Poetry Revisited.mp4 12.47Мб
4. Poetry Revisited.vtt 3.72Кб
4. What is a CNN.mp4 61.97Мб
4. What is a CNN.vtt 15.69Кб
5. Attention Code 1.mp4 99.94Мб
5. Attention Code 1.vtt 10.28Кб
5. How to Succeed in this Course (Long Version).mp4 39.01Мб
5. How to Succeed in this Course (Long Version).vtt 12.84Кб
5. Image Classification Code.mp4 48.62Мб
5. Image Classification Code.vtt 5.81Кб
5. Memory Networks Code 3.mp4 55.85Мб
5. Memory Networks Code 3.vtt 6.15Кб
5. Poetry Revisited Code 1.mp4 82.59Мб
5. Poetry Revisited Code 1.vtt 9.50Кб
5. Where to get the data.mp4 27.15Мб
5. Where to get the data.vtt 5.68Кб
6. Attention Code 2.mp4 41.60Мб
6. Attention Code 2.vtt 3.69Кб
6. Bidirectional RNNs Section Summary.mp4 13.99Мб
6. Bidirectional RNNs Section Summary.vtt 2.67Кб
6. CNN Code (part 1).mp4 148.61Мб
6. CNN Code (part 1).vtt 17.47Кб
6. How to Code by Yourself (part 1).mp4 82.11Мб
6. How to Code by Yourself (part 1).vtt 19.61Кб
6. Memory Networks Section Summary.mp4 16.11Мб
6. Memory Networks Section Summary.vtt 4.35Кб
6. Poetry Revisited Code 2.mp4 66.56Мб
6. Poetry Revisited Code 2.vtt 7.46Кб
7. CNN Code (part 2).mp4 59.29Мб
7. CNN Code (part 2).vtt 6.90Кб
7. How to Code by Yourself (part 2).mp4 56.22Мб
7. How to Code by Yourself (part 2).vtt 11.62Кб
7. Seq2Seq in Code 1.mp4 84.34Мб
7. Seq2Seq in Code 1.vtt 8.33Кб
7. Visualizing Attention.mp4 10.43Мб
7. Visualizing Attention.vtt 2.71Кб
8. Building a Chatbot without any more Code.mp4 76.15Мб
8. Building a Chatbot without any more Code.vtt 10.08Кб
8. Proof that using Jupyter Notebook is the same as not using it.mp4 78.26Мб
8. Proof that using Jupyter Notebook is the same as not using it.vtt 12.22Кб
8. Seq2Seq in Code 2.mp4 50.59Мб
8. Seq2Seq in Code 2.vtt 5.42Кб
8. What is an RNN.mp4 56.61Мб
8. What is an RNN.vtt 15.12Кб
9. Attention Section Summary.mp4 13.88Мб
9. Attention Section Summary.vtt 3.94Кб
9. GRUs and LSTMs.mp4 49.64Мб
9. GRUs and LSTMs.vtt 12.15Кб
9. Seq2Seq Section Summary.mp4 13.63Мб
9. Seq2Seq Section Summary.vtt 3.31Кб
9. What order should I take your courses in (part 1).mp4 88.04Мб
9. What order should I take your courses in (part 1).vtt 14.17Кб
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