ImageNet Classification with Deep Convolutional Neural Networks（翻譯+總結）
網絡架構 網絡共有8層，五個卷積層和三個全連接層。接下來介紹一下網絡架構的一些特點。 1.ReLU Nonlinearity 標準情況下神經元的輸出一般採用tanh或者sigmoid作爲激活函數，但是就梯度下降的訓練時間而言，這些飽和非線性函數要比非飽和非線性函數f(x) = max(0, x)慢得多，這裏將這種非線性單元稱爲Rectified Linear Units (ReLUs)。帶有ReL
相關文章
- 1. ImageNet Classification with Deep Convolutional Neural Networks （AlexNet）翻譯
- 2. ImageNet Classification with Deep Convolutional Neural Networks
- 3. 《ImageNet Classification with Deep Convolutional Neural Network》
- 4. alexnet筆記（ImageNet Classification with Deep Convolutional Neural Networks）
- 5. 論文ImageNet Classification with Deep Convolutional Neural Networks（Alexnet2012）
- 6. AlexNet——ImageNet Classification with Deep Convolutional Neural Networks
- 7. AlexNet《ImageNet Classification with Deep Convolutional Neural Networks》
- 8. ImageNet Classification with Deep Convolutional Neural Networks -- 解讀
- 9. ImageNet Classification with Deep Convolutional Neural Networks（Alexnet）
- 10. 【AlexNet】ImageNet Classification with Deep Convolutional Neural Networks
- 更多相關文章...
- • Docker 資源彙總 - Docker教程
- • Eclipse 編譯項目 - Eclipse 教程
- • 算法總結-雙指針
- • 算法總結-回溯法
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. ImageNet Classification with Deep Convolutional Neural Networks （AlexNet）翻譯
- 2. ImageNet Classification with Deep Convolutional Neural Networks
- 3. 《ImageNet Classification with Deep Convolutional Neural Network》
- 4. alexnet筆記（ImageNet Classification with Deep Convolutional Neural Networks）
- 5. 論文ImageNet Classification with Deep Convolutional Neural Networks（Alexnet2012）
- 6. AlexNet——ImageNet Classification with Deep Convolutional Neural Networks
- 7. AlexNet《ImageNet Classification with Deep Convolutional Neural Networks》
- 8. ImageNet Classification with Deep Convolutional Neural Networks -- 解讀
- 9. ImageNet Classification with Deep Convolutional Neural Networks（Alexnet）
- 10. 【AlexNet】ImageNet Classification with Deep Convolutional Neural Networks