1. Summary and supplement of
“ImageNet Classification with Deep
Convolutional Neural Networks”
summarized by @0tenchou
著者
Alex Krizhevsky
Ilya Sutskever
Geoffrey E. Hinton
url :https://www.nvidia.cn/content/tesla/pdf/machine-learning/imagenet-classification-with-deep-convolutional-nn.pdf
2. コンテンツ
Abstract
I. Introduction
II. The Dataset
III. The Architecture(構造)
I. ReLU Nonlinearity(非線形関数であるReLU)
II. Training on MultipleGPUs(マルチGPUで学習)
III. Local Response Normalization(LRN(活性化関数)
IV. Overlapping Pooling(重複プーリング)
V. Overall Architecture (全体構造)
IV. Reducing Overfitting(過学習の減少)
I. Data Augmentation(データ拡張)
II. Dropout(ドロップアウト)
V. Details of learning(学習の詳細)
VI. Results(結果)
I. Qualitative Evaluations(定性評価)
VII. Discussion(ディスカッション)