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

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File Name
Size
1. Welcome/1. Introduction.mp4
14 MB
1. Welcome/1. Introduction.vtt
3.3 kB
1. Welcome/2. Outline.mp4
16 MB
1. Welcome/2. Outline.vtt
5.2 kB
1. Welcome/3. Where to get the code.mp4
20 MB
1. Welcome/3. Where to get the code.vtt
5.7 kB
1. Welcome/4. How to Succeed in this Course.mp4
17 MB
1. Welcome/4. How to Succeed in this Course.vtt
3.5 kB
2. Review/1. Review Section Introduction.mp4
21 MB
2. Review/1. Review Section Introduction.vtt
5.3 kB
2. Review/10. Different Types of RNN Tasks.mp4
57 MB
2. Review/10. Different Types of RNN Tasks.vtt
14 kB
2. Review/11. A Simple RNN Experiment.mp4
56 MB
2. Review/11. A Simple RNN Experiment.vtt
6.7 kB
2. Review/12. RNN Code.mp4
31 MB
2. Review/12. RNN Code.vtt
3.7 kB
2. Review/13. Review Section Summary.mp4
20 MB
2. Review/13. Review Section Summary.vtt
5.6 kB
2. Review/2. What is a word embedding.mp4
58 MB
2. Review/2. What is a word embedding.vtt
17 kB
2. Review/3. Using word embeddings.mp4
19 MB
2. Review/3. Using word embeddings.vtt
5.4 kB
2. Review/4. What is a CNN.mp4
62 MB
2. Review/4. What is a CNN.vtt
16 kB
2. Review/5. Where to get the data.mp4
27 MB
2. Review/5. Where to get the data.vtt
5.7 kB
2. Review/6. CNN Code (part 1).mp4
149 MB
2. Review/6. CNN Code (part 1).vtt
18 kB
2. Review/7. CNN Code (part 2).mp4
59 MB
2. Review/7. CNN Code (part 2).vtt
6.9 kB
2. Review/8. What is an RNN.mp4
57 MB
2. Review/8. What is an RNN.vtt
15 kB
2. Review/9. GRUs and LSTMs.mp4
50 MB
2. Review/9. GRUs and LSTMs.vtt
12 kB
3. Bidirectional RNNs/1. Bidirectional RNNs Motivation.mp4
33 MB
3. Bidirectional RNNs/1. Bidirectional RNNs Motivation.vtt
9.2 kB
3. Bidirectional RNNs/2. Bidirectional RNN Experiment.mp4
49 MB
3. Bidirectional RNNs/2. Bidirectional RNN Experiment.vtt
5.2 kB
3. Bidirectional RNNs/3. Bidirectional RNN Code.mp4
23 MB
3. Bidirectional RNNs/3. Bidirectional RNN Code.vtt
2.4 kB
3. Bidirectional RNNs/4. Image Classification with Bidirectional RNNs.mp4
33 MB
3. Bidirectional RNNs/4. Image Classification with Bidirectional RNNs.vtt
6.8 kB
3. Bidirectional RNNs/5. Image Classification Code.mp4
49 MB
3. Bidirectional RNNs/5. Image Classification Code.vtt
5.8 kB
3. Bidirectional RNNs/6. Bidirectional RNNs Section Summary.mp4
14 MB
3. Bidirectional RNNs/6. Bidirectional RNNs Section Summary.vtt
2.7 kB
4. Sequence-to-sequence models (Seq2Seq)/1. Seq2Seq Theory.mp4
32 MB
4. Sequence-to-sequence models (Seq2Seq)/1. Seq2Seq Theory.vtt
8.1 kB
4. Sequence-to-sequence models (Seq2Seq)/2. Seq2Seq Applications.mp4
16 MB
4. Sequence-to-sequence models (Seq2Seq)/2. Seq2Seq Applications.vtt
3.8 kB
4. Sequence-to-sequence models (Seq2Seq)/3. Decoding in Detail and Teacher Forcing.mp4
31 MB
4. Sequence-to-sequence models (Seq2Seq)/3. Decoding in Detail and Teacher Forcing.vtt
7.6 kB
4. Sequence-to-sequence models (Seq2Seq)/4. Poetry Revisited.mp4
12 MB
4. Sequence-to-sequence models (Seq2Seq)/4. Poetry Revisited.vtt
3.7 kB
4. Sequence-to-sequence models (Seq2Seq)/5. Poetry Revisited Code 1.mp4
83 MB
4. Sequence-to-sequence models (Seq2Seq)/5. Poetry Revisited Code 1.vtt
9.5 kB
4. Sequence-to-sequence models (Seq2Seq)/6. Poetry Revisited Code 2.mp4
67 MB
4. Sequence-to-sequence models (Seq2Seq)/6. Poetry Revisited Code 2.vtt
7.5 kB
4. Sequence-to-sequence models (Seq2Seq)/7. Seq2Seq in Code 1.mp4
84 MB
4. Sequence-to-sequence models (Seq2Seq)/7. Seq2Seq in Code 1.vtt
8.3 kB
4. Sequence-to-sequence models (Seq2Seq)/8. Seq2Seq in Code 2.mp4
51 MB
4. Sequence-to-sequence models (Seq2Seq)/8. Seq2Seq in Code 2.vtt
5.4 kB
4. Sequence-to-sequence models (Seq2Seq)/9. Seq2Seq Section Summary.mp4
14 MB
4. Sequence-to-sequence models (Seq2Seq)/9. Seq2Seq Section Summary.vtt
3.3 kB
5. Attention/1. Attention Section Introduction.mp4
8.4 MB
5. Attention/1. Attention Section Introduction.vtt
2.7 kB
5. Attention/2. Attention Theory.mp4
62 MB
5. Attention/2. Attention Theory.vtt
21 kB
5. Attention/3. Teacher Forcing.mp4
7.2 MB
5. Attention/3. Teacher Forcing.vtt
2.3 kB
5. Attention/4. Helpful Implementation Details.mp4
41 MB
5. Attention/4. Helpful Implementation Details.vtt
13 kB
5. Attention/5. Attention Code 1.mp4
100 MB
5. Attention/5. Attention Code 1.vtt
10 kB
5. Attention/6. Attention Code 2.mp4
42 MB
5. Attention/6. Attention Code 2.vtt
3.7 kB
5. Attention/7. Visualizing Attention.mp4
10 MB
5. Attention/7. Visualizing Attention.vtt
2.7 kB
5. Attention/8. Building a Chatbot without any more Code.mp4
76 MB
5. Attention/8. Building a Chatbot without any more Code.vtt
10 kB
5. Attention/9. Attention Section Summary.mp4
14 MB
5. Attention/9. Attention Section Summary.vtt
3.9 kB
6. Memory Networks/1. Memory Networks Section Introduction.mp4
39 MB
6. Memory Networks/1. Memory Networks Section Introduction.vtt
11 kB
6. Memory Networks/2. Memory Networks Theory.mp4
30 MB
6. Memory Networks/2. Memory Networks Theory.vtt
11 kB
6. Memory Networks/3. Memory Networks Code 1.mp4
80 MB
6. Memory Networks/3. Memory Networks Code 1.vtt
8.4 kB
6. Memory Networks/4. Memory Networks Code 2.mp4
54 MB
6. Memory Networks/4. Memory Networks Code 2.vtt
5.2 kB
6. Memory Networks/5. Memory Networks Code 3.mp4
56 MB
6. Memory Networks/5. Memory Networks Code 3.vtt
6.2 kB
6. Memory Networks/6. Memory Networks Section Summary.mp4
16 MB
6. Memory Networks/6. Memory Networks Section Summary.vtt
4.4 kB
7. Basics Review/1. (Review) Keras Discussion.mp4
28 MB
7. Basics Review/1. (Review) Keras Discussion.vtt
8.0 kB
7. Basics Review/2. (Review) Keras Neural Network in Code.mp4
66 MB
7. Basics Review/2. (Review) Keras Neural Network in Code.vtt
6.5 kB
7. Basics Review/3. (Review) Keras Functional API.mp4
39 MB
7. Basics Review/3. (Review) Keras Functional API.vtt
4.7 kB
8. Appendix/1. What is the Appendix.mp4
18 MB
8. Appendix/1. What is the Appendix.vtt
3.3 kB
8. Appendix/10. What order should I take your courses in (part 2).mp4
123 MB
8. Appendix/10. What order should I take your courses in (part 2).vtt
20 kB
8. Appendix/11. Python 2 vs Python 3.mp4
19 MB
8. Appendix/11. Python 2 vs Python 3.vtt
5.3 kB
8. Appendix/12. BONUS Where to get discount coupons and FREE deep learning material.mp4
13 MB
8. Appendix/12. BONUS Where to get discount coupons and FREE deep learning material.vtt
3.0 kB
8. Appendix/2. Windows-Focused Environment Setup 2018.mp4
193 MB
8. Appendix/2. Windows-Focused Environment Setup 2018.vtt
17 kB
8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4
166 MB
8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....vtt
12 kB
8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
116 MB
8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt
28 kB
8. Appendix/5. How to Succeed in this Course (Long Version).mp4
39 MB
8. Appendix/5. How to Succeed in this Course (Long Version).vtt
13 kB
8. Appendix/6. How to Code by Yourself (part 1).mp4
82 MB
8. Appendix/6. How to Code by Yourself (part 1).vtt
20 kB
8. Appendix/7. How to Code by Yourself (part 2).mp4
56 MB
8. Appendix/7. How to Code by Yourself (part 2).vtt
12 kB
8. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4
78 MB
8. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt
12 kB
8. Appendix/9. What order should I take your courses in (part 1).mp4
88 MB
8. Appendix/9. What order should I take your courses in (part 1).vtt
14 kB
[CourseClub.NET].url
123 B
[FCS Forum].url
133 B
[FreeCourseSite.com].url
127 B