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