[FreeCourseLab.com] Udemy - Deep Learning Advanced NLP and RNNs

Torrent Hash:
C40F1F579E347F1C6ED6AF07D470D5FB13A08680
Number of Files:
125
Content Size:
3.01GB
Convert On:
2019-07-11
Magnet Link:
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File Name
Size
1. Welcome/1. Introduction.mp4
14.42MB
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1. Welcome/1. Introduction.vtt
3.34KB
1. Welcome/2. Outline.mp4
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1. Welcome/2. Outline.vtt
5.21KB
1. Welcome/3. Where to get the code.mp4
19.58MB
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1. Welcome/3. Where to get the code.vtt
5.73KB
1. Welcome/4. How to Succeed in this Course.mp4
17.41MB
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1. Welcome/4. How to Succeed in this Course.vtt
3.49KB
2. Review/1. Review Section Introduction.mp4
20.75MB
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2. Review/1. Review Section Introduction.vtt
5.29KB
2. Review/10. Different Types of RNN Tasks.mp4
56.79MB
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2. Review/10. Different Types of RNN Tasks.vtt
13.46KB
2. Review/11. A Simple RNN Experiment.mp4
56MB
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2. Review/11. A Simple RNN Experiment.vtt
6.65KB
2. Review/12. RNN Code.mp4
31.1MB
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2. Review/12. RNN Code.vtt
3.7KB
2. Review/13. Review Section Summary.mp4
19.64MB
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2. Review/13. Review Section Summary.vtt
5.59KB
2. Review/2. What is a word embedding.mp4
57.53MB
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2. Review/2. What is a word embedding.vtt
16.66KB
2. Review/3. Using word embeddings.mp4
18.67MB
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2. Review/3. Using word embeddings.vtt
5.39KB
2. Review/4. What is a CNN.mp4
61.97MB
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2. Review/4. What is a CNN.vtt
15.69KB
2. Review/5. Where to get the data.mp4
27.15MB
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2. Review/5. Where to get the data.vtt
5.68KB
2. Review/6. CNN Code (part 1).mp4
148.61MB
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2. Review/6. CNN Code (part 1).vtt
17.47KB
2. Review/7. CNN Code (part 2).mp4
59.29MB
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2. Review/7. CNN Code (part 2).vtt
6.9KB
2. Review/8. What is an RNN.mp4
56.61MB
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2. Review/8. What is an RNN.vtt
15.12KB
2. Review/9. GRUs and LSTMs.mp4
49.64MB
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12.15KB
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33.35MB
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22.72MB
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32.51MB
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4. Sequence-to-sequence models (Seq2Seq)/3. Decoding in Detail and Teacher Forcing.mp4
31.13MB
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7.55KB
4. Sequence-to-sequence models (Seq2Seq)/4. Poetry Revisited.mp4
12.47MB
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4. Sequence-to-sequence models (Seq2Seq)/5. Poetry Revisited Code 1.mp4
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5. Attention/1. Attention Section Introduction.mp4
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5. Attention/2. Attention Theory.mp4
61.82MB
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5. Attention/2. Attention Theory.vtt
20.86KB
5. Attention/3. Teacher Forcing.mp4
7.18MB
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2.25KB
5. Attention/4. Helpful Implementation Details.mp4
40.88MB
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13.11KB
5. Attention/5. Attention Code 1.mp4
99.94MB
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10.28KB
5. Attention/6. Attention Code 2.mp4
41.6MB
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3.69KB
5. Attention/7. Visualizing Attention.mp4
10.43MB
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2.71KB
5. Attention/8. Building a Chatbot without any more Code.mp4
76.15MB
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10.08KB
5. Attention/9. Attention Section Summary.mp4
13.88MB
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3.94KB
6. Memory Networks/1. Memory Networks Section Introduction.mp4
39.23MB
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6. Memory Networks/1. Memory Networks Section Introduction.vtt
11.06KB
6. Memory Networks/2. Memory Networks Theory.mp4
30.4MB
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6. Memory Networks/2. Memory Networks Theory.vtt
10.7KB
6. Memory Networks/3. Memory Networks Code 1.mp4
79.62MB
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6. Memory Networks/3. Memory Networks Code 1.vtt
8.4KB
6. Memory Networks/4. Memory Networks Code 2.mp4
53.55MB
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6. Memory Networks/4. Memory Networks Code 2.vtt
5.19KB
6. Memory Networks/5. Memory Networks Code 3.mp4
55.85MB
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6. Memory Networks/5. Memory Networks Code 3.vtt
6.15KB
6. Memory Networks/6. Memory Networks Section Summary.mp4
16.11MB
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6. Memory Networks/6. Memory Networks Section Summary.vtt
4.35KB
7. Basics Review/1. (Review) Keras Discussion.mp4
27.64MB
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7. Basics Review/1. (Review) Keras Discussion.vtt
8.05KB
7. Basics Review/2. (Review) Keras Neural Network in Code.mp4
66.11MB
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7. Basics Review/2. (Review) Keras Neural Network in Code.vtt
6.47KB
7. Basics Review/3. (Review) Keras Functional API.mp4
38.6MB
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4.7KB
8. Appendix/1. What is the Appendix.mp4
17.68MB
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8. Appendix/1. What is the Appendix.vtt
3.27KB
8. Appendix/10. What order should I take your courses in (part 2).mp4
122.65MB
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8. Appendix/10. What order should I take your courses in (part 2).vtt
20.29KB
8. Appendix/11. Python 2 vs Python 3.mp4
18.79MB
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8. Appendix/11. Python 2 vs Python 3.vtt
5.34KB
8. Appendix/12. BONUS Where to get discount coupons and FREE deep learning material.mp4
13.07MB
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8. Appendix/12. BONUS Where to get discount coupons and FREE deep learning material.vtt
2.99KB
8. Appendix/2. Windows-Focused Environment Setup 2018.mp4
193.26MB
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8. Appendix/2. Windows-Focused Environment Setup 2018.vtt
17.38KB
8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4
166.45MB
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8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....vtt
12.41KB
8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
115.85MB
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8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt
27.96KB
8. Appendix/5. How to Succeed in this Course (Long Version).mp4
39.01MB
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8. Appendix/5. How to Succeed in this Course (Long Version).vtt
12.84KB
8. Appendix/6. How to Code by Yourself (part 1).mp4
82.11MB
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8. Appendix/6. How to Code by Yourself (part 1).vtt
19.61KB
8. Appendix/7. How to Code by Yourself (part 2).mp4
56.22MB
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8. Appendix/7. How to Code by Yourself (part 2).vtt
11.62KB
8. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4
78.26MB
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8. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt
12.22KB
8. Appendix/9. What order should I take your courses in (part 1).mp4
88.04MB
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8. Appendix/9. What order should I take your courses in (part 1).vtt
14.17KB
[FreeCourseLab.com].url
126B

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