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1. Introduction.mp4 |
5.89MB |
1. Introduction.mp4 |
13.26MB |
1. Introduction.mp4 |
20.60MB |
1. Introduction.mp4 |
31.95MB |
1. Introduction.mp4 |
15.20MB |
1. Introduction.mp4 |
10.76MB |
1. Introduction.mp4 |
7.29MB |
1. Introduction.srt |
1.46KB |
1. Introduction.srt |
3.83KB |
1. Introduction.srt |
5.81KB |
1. Introduction.srt |
7.00KB |
1. Introduction.srt |
4.82KB |
1. Introduction.srt |
2.94KB |
1. Introduction.srt |
2.31KB |
2. Applications.mp4 |
130.63MB |
2. Applications.srt |
20.23KB |
2. Binarized networks.mp4 |
124.83MB |
2. Binarized networks.srt |
22.63KB |
2. Character-aware language models.mp4 |
103.28MB |
2. Character-aware language models.srt |
14.64KB |
2. Need for compression of deep learning models.mp4 |
86.14MB |
2. Need for compression of deep learning models.srt |
17.53KB |
2. Pruning weights.mp4 |
290.23MB |
2. Pruning weights.srt |
52.19KB |
2. Two low-rank factors.mp4 |
102.68MB |
2. Two low-rank factors.srt |
15.87KB |
2. Various distillation architectures.mp4 |
247.55MB |
2. Various distillation architectures.srt |
38.49KB |
3. Broad overview of popular ways of model compression.mp4 |
69.12MB |
3. Broad overview of popular ways of model compression.srt |
17.89KB |
3. Factorizing into blocks.mp4 |
91.42MB |
3. Factorizing into blocks.srt |
14.06KB |
3. Learning students and teacher together.mp4 |
39.12MB |
3. Learning students and teacher together.srt |
6.58KB |
3. Parameter sharing in the embedding matrix.mp4 |
261.42MB |
3. Parameter sharing in the embedding matrix.srt |
34.94KB |
3. Pruning neurons.mp4 |
78.64MB |
3. Pruning neurons.srt |
16.96KB |
3. Summary and future trends.mp4 |
150.31MB |
3. Summary and future trends.srt |
24.86KB |
3. Ternarized networks.mp4 |
139.77MB |
3. Ternarized networks.srt |
26.19KB |
4. General Quantized networks.mp4 |
292.40MB |
4. General Quantized networks.srt |
44.79KB |
4. Multiple teachers.mp4 |
134.74MB |
4. Multiple teachers.srt |
20.20KB |
4. Parameter sharing in Transformers.mp4 |
44.57MB |
4. Parameter sharing in Transformers.srt |
8.15KB |
4. Pruning blocks.mp4 |
22.45MB |
4. Pruning blocks.srt |
13.69KB |
4. Summary.mp4 |
12.33MB |
4. Summary.srt |
2.77KB |
4. Tensor train decomposition.mp4 |
20.36MB |
4. Tensor train decomposition.srt |
11.86KB |
5. Adversarial methods.mp4 |
87.10MB |
5. Adversarial methods.srt |
13.48KB |
5. Block-Term tensor decomposition.mp4 |
86.44MB |
5. Block-Term tensor decomposition.srt |
11.19KB |
5. Pruning heads and layers.mp4 |
169.21MB |
5. Pruning heads and layers.srt |
25.83KB |
5. Summary.mp4 |
5.58MB |
5. Summary.mp4 |
15.09MB |
5. Summary.srt |
4.29KB |
5. Summary.srt |
2.65KB |
6. Distilling Transformers.mp4 |
213.44MB |
6. Distilling Transformers.srt |
29.93KB |
6. Summary.mp4 |
15.27MB |
6. Summary.mp4 |
11.61MB |
6. Summary.srt |
3.59KB |
6. Summary.srt |
2.24KB |
7. Summary.mp4 |
26.01MB |
7. Summary.srt |
4.86KB |
Bonus Resources.txt |
357B |
Get Bonus Downloads Here.url |
183B |