学习Python卷积神经网络：数据和代码简明解释
Python卷积神经网络
适合新手学习，通过清晰的代码说明，帮助读者掌握卷积神经网络的基础知识和实践技巧。
# 示例代码
import tensorflow as tf
from tensorflow.keras import layers
model = tf.keras.Sequential([
layers.Conv2D(32, (3, 3), activation='relu', input_shape=(28, 28, 1)),
layers.MaxPooling2D((2, 2)),
layers.Conv2D(64, (3, 3), activation='relu'),
layers.MaxPooling2D((2, 2)),
layers.Conv2D(64, (3, 3), activation='relu')
])
model.summary()
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