July 2018
Intermediate to advanced
310 pages
8h 21m
Chinese
Content preview from 深度学习入门 : 基于Python的理论与实现
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7.4 卷积层和池化层的实现
219
图7-19 卷积运算的滤波器处理的细节：将滤波器纵向展开为1 列，并计算和im2col 展开
的数据的矩阵乘积，最后转换（reshape）为输出数据的大小
im2col
reshape
输入数据
输出数据
输出数据（2 维）
滤波器
矩阵的乘积
滤波器
7.4.3
卷积层的实现
本书提供了
im2col
函数，并将这个
im2col
函数作为黑盒（不关心内部实现）
使用。
im2col
的实现内容在
common/util.py
中，它的实现（实质上）是一个 10
行左右的简单函数。有兴趣的读者可以参考。
im2col
这一便捷函数具有以下接口。
im2col (input_data, filter_h, filter_w, stride=1, pad=0)
•
input_data
―
由（
数据量，通道，高，长
）的 4维数组构成的输入数据
•
filter_h
―
滤波器的高
•
filter_w
―
滤波器的长
•
stride
―
步幅
•
pad
―
填充
第 7章 卷积神经网络
220
im2col
会考虑滤波器大小
、
步幅、填充，将输入数据展开为 2 维数组。现在，
我们来实际使用一下这个
im2col
。
import sys, os
sys.path.append(os.pardir)
from common.util ...
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