DeepLearning

簡介文章

• Convolution Neural Network 介紹(CNN 介紹)
• EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
• NLLLoss 函式介紹與程式實作
• 卷積神經網絡 CNN 經典模型 — LeNet、AlexNet、VGG、NiN with Pytorch code
• MNIST Handwritten Digit Recognition in PyTorch

經典論文

• 1958, Perceptron: The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain, F. Rosenblatt, Published 1958, Computer Science, Medicine Psychological review

• 1986, Backpropagation: Learning representations by back-propagating errors, D. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams, Published 1986, Computer Science, Nature

• 1998, LeNet: Gradient-Based Learning Applied to Document Recognition December 1998Proceedings of the IEEE 86(11):2278 - 2324

• 2012, AlexNet: ImageNet classification with deep convolutional neural networks, A. Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton, Computer Science, Commun. ACM 3 December 2012

• 2014, Dropout: Dropout: a simple way to prevent neural networks from overfitting Nitish Srivastava, Geoffrey E. Hinton, +2 authors R. Salakhutdinov, Published 2014, Computer Science, J. Mach. Learn. Res.

• 2014, VGG, GoogLeNet (Inception v1): Going deeper with convolutions, Christian Szegedy, W. Liu, +6 authors Andrew Rabinovich, Published 2015, Computer Science, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

• 2015, ResNet: Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift, S. Ioffe, Christian Szegedy, Published 2015, Computer Science, ArXiv

• 2017, MobileNet: Xception: Deep Learning with Depthwise Separable Convolutions, François Chollet, Published 2017, Computer Science, Mathematics 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)