i'm going study deep learning.i like share my experience whit you.
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articles that everybody should read them:
- ImageNetClassificationwithDeepConvolutional NeuralNetworks
this article is about CNN,Alex Krizhevsky,ReLU Nonlinearity, Training on Multiple GPUs,Local Response Normalization,Overlapping Pooling,Dropout - Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
- dropout: A Simple Way to Prevent Neural Networks fromOverfitting
- Deep Residual Learning for Image Recognition
- Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
- ImageNetClassificationwithDeepConvolutional NeuralNetworks
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The articles I read and were interesting to me.I share with you here: