CNN (Convolutional Neural Networks) Abstract

时间 2020-12-24

标签深度学习 CNN 繁體版

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CNN通常用来进行图像处理，经历一系列卷积层,非线性层,池化层和完全连接层,最终得到输出，输出通常是一个单独分类或者一组分类的概率. Fully Connected Layer & Convolution Layer & Pooling Layer & Rectified Linear Unit 卷积层与全连接层的主要区别是卷积层保留了基本的空间结构(Spatial Structure) 全连接层

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1. CS231n lecture 5 Convolutional Neural Networks(CNN)
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3. Convolutional Neural Networks - Week4
4. Convolutional Neural Networks-Week2
5. Convolutional Neural Networks---Foundations of Convolutional Neural Networks
6. Convolutional Neural Networks
7. Orthogonal Convolutional Neural Networks
8. CS231N-5-Convolutional Neural Networks
9. Convolutional Neural Networks for Sentence Classification
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1. CS231n lecture 5 Convolutional Neural Networks(CNN)
2. Convolutional Neural Networks-Week1
3. Convolutional Neural Networks - Week4
4. Convolutional Neural Networks-Week2
5. Convolutional Neural Networks---Foundations of Convolutional Neural Networks
6. Convolutional Neural Networks
7. Orthogonal Convolutional Neural Networks
8. CS231N-5-Convolutional Neural Networks
9. Convolutional Neural Networks for Sentence Classification
10. Local Binary Convolutional Neural Networks

>>更多相关文章<<