A guide to convolution arithmetic for deep learning
目标 介绍卷积和反卷积的关系 明白 input shape, kernel shape, zero padding, strides , out shape 在卷积，池化，反卷积的关系 1 介绍 1.1 离散卷积 神经网络：放射变换， 输入数组，在乘以一个矩阵加上一个偏置后，得到一个输出。 输入数据类型：图片、声音其他等，都满足多个维度存储，有一个以上的轴来排序数据，并且有一个以上的通道来表述数据
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相关文章
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