2、卷积和ReLU激活函数
python了解集合网络如何创建具有卷积层的特性。
文章目录
- 简介
- 特征提取(Feature Extraction)
- 卷积过滤(Filter with Convolution)
- Weights(权重)
- 激活（Activations）
- 用ReLU检测
- 示例 - 应用卷积和ReLU
- 结论
In [1]:
import numpy as np
from itertools import product
def show_kernel(kernel, label=True, digits=None, text_size=28):
# Format kernel
kernel = np.array(kernel)
if digits is not None:
kernel = kernel.round(digits)
# Plot kernel
cmap = plt.get_cmap('Blues_r')
plt.imshow(kernel, cmap=cmap)
rows, cols = kernel.shape
thresh = (kernel.max()+kernel.min())/2
# Optionally, add value labels
if label:
for i, j in product(range(rows), range(cols)):
val = kernel[i, j]
color = cmap(0) if val > thresh else cmap(