CS231n lecture 5 Convolutional Neural Networks(CNN)

时间 2020-12-24

标签 cnn 繁體版

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ConvNet Layers 卷积神经网络将输入的原始图像像素逐层转换为最终的 class scores。我们采用以下几个主要的 layers 来构建卷积网络框架。 Convolutional Layer, Pooling Layer, and Fully-Connected Layer We will stack these layers to form a full ConvNet arch

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1. CS231N-5-Convolutional Neural Networks
2. CS231n Convolutional Neural Networks for Visual Recognition
3. cs231n-notes-Lecture-10：Recurrent Neural Networks
4. 【CS231n笔记】07 Convolutional Neural Networks
5. cs231n --- 3 : Convolutional Neural Networks (CNNs / ConvNets)
6. 【CS231n】Lecture 5:Training Network，Part I
7. 【CS231n】Lecture 6：Training Neural Networks,Part 2
8. CS231N-4-Neural Networks
9. [cv231n] Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition
10. CS231n lecture 3 Linear classification and Optimization

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