Udemy - Deep Learning: Advanced NLP and RNNs

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Udemy - Deep Learning: Advanced NLP and RNNs

Torrent Contents Size: 3 GB

Udemy - Deep Learning: Advanced NLP and RNNs
▼ show more 110 files
1. (Review) Keras Discussion.mp4
MP4
27.6 MB
1. (Review) Keras Discussion.vtt
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8 KB
1. Attention Section Introduction.mp4
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8.4 MB
1. Attention Section Introduction.vtt
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2.7 KB
1. Bidirectional RNNs Motivation.mp4
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33.3 MB
1. Bidirectional RNNs Motivation.vtt
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9.2 KB
1. Introduction.mp4
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14.4 MB
1. Introduction.vtt
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3.3 KB
1. Memory Networks Section Introduction.mp4
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39.2 MB
1. Memory Networks Section Introduction.vtt
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11.1 KB
1. Review Section Introduction.mp4
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20.8 MB
1. Review Section Introduction.vtt
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5.3 KB
1. Seq2Seq Theory.mp4
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32.5 MB
1. Seq2Seq Theory.vtt
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8.1 KB
1. What is the Appendix.mp4
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17.7 MB
1. What is the Appendix.vtt
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3.3 KB
10. Different Types of RNN Tasks.mp4
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56.8 MB
10. Different Types of RNN Tasks.vtt
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13.5 KB
10. What order should I take your courses in (part 2).mp4
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122.7 MB
10. What order should I take your courses in (part 2).vtt
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20.3 KB
11. A Simple RNN Experiment.mp4
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56 MB
11. A Simple RNN Experiment.vtt
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6.7 KB
11. Python 2 vs Python 3.mp4
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18.8 MB
11. Python 2 vs Python 3.vtt
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5.3 KB
12. BONUS Where to get discount coupons and FREE deep learning material.mp4
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13.1 MB
12. BONUS Where to get discount coupons and FREE deep learning material.vtt
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3 KB
12. RNN Code.mp4
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31.1 MB
12. RNN Code.vtt
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3.7 KB
13. Review Section Summary.mp4
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19.6 MB
13. Review Section Summary.vtt
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5.6 KB
2. (Review) Keras Neural Network in Code.mp4
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66.1 MB
2. (Review) Keras Neural Network in Code.vtt
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6.5 KB
2. Attention Theory.mp4
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61.8 MB
2. Attention Theory.vtt
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20.9 KB
2. Bidirectional RNN Experiment.mp4
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48.7 MB
2. Bidirectional RNN Experiment.vtt
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5.2 KB
2. Memory Networks Theory.mp4
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30.4 MB
2. Memory Networks Theory.vtt
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10.7 KB
2. Outline.mp4
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16.1 MB
2. Outline.vtt
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5.2 KB
2. Seq2Seq Applications.mp4
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16.1 MB
2. Seq2Seq Applications.vtt
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3.8 KB
2. What is a word embedding.mp4
MP4
57.5 MB
2. What is a word embedding.vtt
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16.7 KB
2. Windows-Focused Environment Setup 2018.mp4
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193.3 MB
2. Windows-Focused Environment Setup 2018.vtt
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17.4 KB
3. (Review) Keras Functional API.mp4
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38.6 MB
3. (Review) Keras Functional API.vtt
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4.7 KB
3. Bidirectional RNN Code.mp4
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22.7 MB
3. Bidirectional RNN Code.vtt
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2.4 KB
3. Decoding in Detail and Teacher Forcing.mp4
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31.1 MB
3. Decoding in Detail and Teacher Forcing.vtt
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7.6 KB
3. How to How to install Numpy, Theano, Tensorflow, etc....mp4
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166.4 MB
3. How to How to install Numpy, Theano, Tensorflow, etc....vtt
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12.4 KB
3. Memory Networks Code 1.mp4
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79.6 MB
3. Memory Networks Code 1.vtt
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8.4 KB
3. Teacher Forcing.mp4
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7.2 MB
3. Teacher Forcing.vtt
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2.3 KB
3. Using word embeddings.mp4
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18.7 MB
3. Using word embeddings.vtt
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5.4 KB
3. Where to get the code.mp4
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19.6 MB
3. Where to get the code.vtt
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5.7 KB
4. Helpful Implementation Details.mp4
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40.9 MB
4. Helpful Implementation Details.vtt
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13.1 KB
4. How to Succeed in this Course.mp4
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17.4 MB
4. How to Succeed in this Course.vtt
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3.5 KB
4. Image Classification with Bidirectional RNNs.mp4
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32.8 MB
4. Image Classification with Bidirectional RNNs.vtt
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6.8 KB
4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
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115.8 MB
4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt
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28 KB
4. Memory Networks Code 2.mp4
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53.6 MB
4. Memory Networks Code 2.vtt
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5.2 KB
4. Poetry Revisited.mp4
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12.5 MB
4. Poetry Revisited.vtt
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3.7 KB
4. What is a CNN.mp4
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62 MB
4. What is a CNN.vtt
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15.7 KB
5. Attention Code 1.mp4
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99.9 MB
5. Attention Code 1.vtt
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10.3 KB
5. How to Succeed in this Course (Long Version).mp4
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39 MB
5. How to Succeed in this Course (Long Version).vtt
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12.8 KB
5. Image Classification Code.mp4
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48.6 MB
5. Image Classification Code.vtt
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5.8 KB
5. Memory Networks Code 3.mp4
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55.8 MB
5. Memory Networks Code 3.vtt
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6.2 KB
5. Poetry Revisited Code 1.mp4
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82.6 MB
5. Poetry Revisited Code 1.vtt
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9.5 KB
5. Where to get the data.mp4
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27.1 MB
5. Where to get the data.vtt
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5.7 KB
6. Attention Code 2.mp4
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41.6 MB
6. Attention Code 2.vtt
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3.7 KB
6. Bidirectional RNNs Section Summary.mp4
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14 MB
6. Bidirectional RNNs Section Summary.vtt
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2.7 KB
6. CNN Code (part 1).mp4
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148.6 MB
6. CNN Code (part 1).vtt
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17.5 KB
6. How to Code by Yourself (part 1).mp4
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82.1 MB
6. How to Code by Yourself (part 1).vtt
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19.6 KB
6. Memory Networks Section Summary.mp4
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16.1 MB
6. Memory Networks Section Summary.vtt
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4.4 KB
6. Poetry Revisited Code 2.mp4
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66.6 MB
6. Poetry Revisited Code 2.vtt
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7.5 KB
7. CNN Code (part 2).mp4
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59.3 MB
7. CNN Code (part 2).vtt
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6.9 KB
7. How to Code by Yourself (part 2).mp4
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56.2 MB
7. How to Code by Yourself (part 2).vtt
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11.6 KB
7. Seq2Seq in Code 1.mp4
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84.3 MB
7. Seq2Seq in Code 1.vtt
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8.3 KB
7. Visualizing Attention.mp4
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10.4 MB
7. Visualizing Attention.vtt
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2.7 KB
8. Building a Chatbot without any more Code.mp4
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76.2 MB
8. Building a Chatbot without any more Code.vtt
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10.1 KB
8. Proof that using Jupyter Notebook is the same as not using it.mp4
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78.3 MB
8. Proof that using Jupyter Notebook is the same as not using it.vtt
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12.2 KB
8. Seq2Seq in Code 2.mp4
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50.6 MB
8. Seq2Seq in Code 2.vtt
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5.4 KB
8. What is an RNN.mp4
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56.6 MB
8. What is an RNN.vtt
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15.1 KB
9. Attention Section Summary.mp4
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13.9 MB
9. Attention Section Summary.vtt
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3.9 KB
9. GRUs and LSTMs.mp4
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49.6 MB
9. GRUs and LSTMs.vtt
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12.1 KB
9. Seq2Seq Section Summary.mp4
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13.6 MB
9. Seq2Seq Section Summary.vtt
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3.3 KB
9. What order should I take your courses in (part 1).mp4
MP4
88 MB
9. What order should I take your courses in (part 1).vtt
VTT
14.2 KB
[FreeCourseLab.com].url
URL
102.4 B

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