【論文閱讀筆記】Ristretto： Hardware-Oriented Approximation of Convolutional Neural Networks
2. Convolutional Neural Networks 2.2.1 Normalization layers Normalization layers(LRN、BN) require a very large dynamic range for intermediate values(need intermediate values, not parameters). In Alex
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相關文章
- 1. 《Bag of Tricks for Image Classification with Convolutional Neural Networks》論文閱讀筆記
- 2. 【論文閱讀筆記】Imporved Regularization of Convolutional Neural Networks with Cutout
- 3. 論文閱讀：《Convolutional Neural Networks for Sentence Classification》
- 4. 【論文閱讀筆記】Densely Connected Convolutional Networks
- 5. 論文閱讀：Pointwise Convolutional Neural Networks
- 6. 論文閱讀-Fast Algorithms for Convolutional Neural Networks
- 7. 論文閱讀筆記之——《Moiré Photo Restoration Using Multiresolution Convolutional Neural Networks》
- 8. 論文閱讀筆記（一）：Learning Dual Convolutional Neural Networks for Low-Level Vision
- 9. 【論文閱讀筆記】Convolutional Neural Networks for Sentence Classification
- 10. 【論文閱讀筆記】Analyzing and Interpreting Convolutional Neural Networks in NLP