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[UdemyCourseDownloader] Deep Learning Advanced NLP and RNNs
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Torrent Files List
8. Appendix (Size: 3.01 GB) (Files: 127)
8. Appendix
2. Windows-Focused Environment Setup 2018.mp4
1. What is the Appendix.mp4
1. What is the Appendix.vtt
2. Windows-Focused Environment Setup 2018.vtt
3. How to How to install Numpy, Theano, Tensorflow, etc....mp4
3. How to How to install Numpy, Theano, Tensorflow, etc....vtt
4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt
5. How to Succeed in this Course (Long Version).mp4
5. How to Succeed in this Course (Long Version).vtt
6. How to Code by Yourself (part 1).mp4
6. How to Code by Yourself (part 1).vtt
7. How to Code by Yourself (part 2).mp4
7. How to Code by Yourself (part 2).vtt
8. Proof that using Jupyter Notebook is the same as not using it.mp4
8. Proof that using Jupyter Notebook is the same as not using it.vtt
9. What order should I take your courses in (part 1).mp4
9. What order should I take your courses in (part 1).vtt
10. What order should I take your courses in (part 2).mp4
10. What order should I take your courses in (part 2).vtt
11. Python 2 vs Python 3.mp4
11. Python 2 vs Python 3.vtt
12. BONUS Where to get discount coupons and FREE deep learning material.mp4
12. BONUS Where to get discount coupons and FREE deep learning material.vtt
[FreeTutorials.Eu].url
[FTU Forum].url
1. Welcome
1. Introduction.mp4
1. Introduction.vtt
2. Outline.mp4
2. Outline.vtt
3. Where to get the code.mp4
3. Where to get the code.vtt
4. How to Succeed in this Course.mp4
4. How to Succeed in this Course.vtt
2. Review
1. Review Section Introduction.mp4
1. Review Section Introduction.vtt
2. What is a word embedding.mp4
2. What is a word embedding.vtt
3. Using word embeddings.mp4
3. Using word embeddings.vtt
4. What is a CNN.mp4
4. What is a CNN.vtt
5. Where to get the data.mp4
5. Where to get the data.vtt
6. CNN Code (part 1).mp4
6. CNN Code (part 1).vtt
7. CNN Code (part 2).mp4
7. CNN Code (part 2).vtt
8. What is an RNN.mp4
8. What is an RNN.vtt
9. GRUs and LSTMs.mp4
9. GRUs and LSTMs.vtt
10. Different Types of RNN Tasks.mp4
10. Different Types of RNN Tasks.vtt
11. A Simple RNN Experiment.mp4
11. A Simple RNN Experiment.vtt
12. RNN Code.mp4
12. RNN Code.vtt
13. Review Section Summary.mp4
13. Review Section Summary.vtt
3. Bidirectional RNNs
1. Bidirectional RNNs Motivation.mp4
1. Bidirectional RNNs Motivation.vtt
2. Bidirectional RNN Experiment.mp4
2. Bidirectional RNN Experiment.vtt
3. Bidirectional RNN Code.mp4
3. Bidirectional RNN Code.vtt
4. Image Classification with Bidirectional RNNs.mp4
4. Image Classification with Bidirectional RNNs.vtt
5. Image Classification Code.mp4
5. Image Classification Code.vtt
6. Bidirectional RNNs Section Summary.mp4
6. Bidirectional RNNs Section Summary.vtt
4. Sequence-to-sequence models (Seq2Seq)
1. Seq2Seq Theory.mp4
1. Seq2Seq Theory.vtt
2. Seq2Seq Applications.mp4
2. Seq2Seq Applications.vtt
3. Decoding in Detail and Teacher Forcing.mp4
3. Decoding in Detail and Teacher Forcing.vtt
4. Poetry Revisited.mp4
4. Poetry Revisited.vtt
5. Poetry Revisited Code 1.mp4
5. Poetry Revisited Code 1.vtt
6. Poetry Revisited Code 2.mp4
6. Poetry Revisited Code 2.vtt
7. Seq2Seq in Code 1.mp4
7. Seq2Seq in Code 1.vtt
8. Seq2Seq in Code 2.mp4
8. Seq2Seq in Code 2.vtt
9. Seq2Seq Section Summary.mp4
9. Seq2Seq Section Summary.vtt
5. Attention
1. Attention Section Introduction.mp4
1. Attention Section Introduction.vtt
2. Attention Theory.mp4
2. Attention Theory.vtt
3. Teacher Forcing.mp4
3. Teacher Forcing.vtt
4. Helpful Implementation Details.mp4
4. Helpful Implementation Details.vtt
5. Attention Code 1.mp4
5. Attention Code 1.vtt
6. Attention Code 2.mp4
6. Attention Code 2.vtt
7. Visualizing Attention.mp4
7. Visualizing Attention.vtt
8. Building a Chatbot without any more Code.mp4
8. Building a Chatbot without any more Code.vtt
9. Attention Section Summary.mp4
9. Attention Section Summary.vtt
6. Memory Networks
1. Memory Networks Section Introduction.mp4
1. Memory Networks Section Introduction.vtt
2. Memory Networks Theory.mp4
2. Memory Networks Theory.vtt
3. Memory Networks Code 1.mp4
3. Memory Networks Code 1.vtt
4. Memory Networks Code 2.mp4
4. Memory Networks Code 2.vtt
5. Memory Networks Code 3.mp4
5. Memory Networks Code 3.vtt
6. Memory Networks Section Summary.mp4
6. Memory Networks Section Summary.vtt
7. Basics Review
1. (Review) Keras Discussion.mp4
1. (Review) Keras Discussion.vtt
2. (Review) Keras Neural Network in Code.mp4
2. (Review) Keras Neural Network in Code.vtt
3. (Review) Keras Functional API.mp4
3. (Review) Keras Functional API.vtt
[FreeCoursesOnline.Me].url
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