Keras

(1)变分自编码器(Variational AutoEncoder, VAE)|系统解读Keras实现Generative Deep Learning

完整代码见附录 1.设置 import numpy as np import tensorflow as tf from tensorflow import keras from tensorflow.keras import layers 2.创建采样层 class Sampling(layers.Layer): “””Uses (z_mean, z_log_var) to sample z, the vector encoding a digit.””” def call(self, inputs): z_mean, z_log_var = inputs batch = tf.shape(z_mean)[0] dim = tf.shape(z_mean)[1] epsilon = tf.keras.backend.random_normal(shape=(batch, dim)) return z_mean + tf.exp(0.5 * z_log_var) * epsilon 3.构建编码器 latent_dim = 2 encoder_inputs = keras.Input(shape=(28, 28, 1)) ...

ZeroPadding2D介绍和示例

参数 padding:If tuple of int (length 2): How many zeros to add at the beginning and end of the 2 padding dimensions (rows and cols) keras.layers.convolutional.ZeroPadding2D(padding=(1, 0), dim_ordering=’default’) 在第一行前面和最后一行后面都加一行零。行数增2,列数不变 keras.layers.convolutional.ZeroPadding2D(padding=(0, 1), dim_ordering=’default’) 在第一列前面和最后一列后面都加一列零。列数增2,行数不变 keras.layers.convolutional.ZeroPadding2D(padding=(1, 1), dim_ordering=’default’) 在第一行前面和最后一行后面都加一行零,在第一列前面和最后一列后面都加一列零。行数和列数都增2 keras...

ZeroPadding3D

keras.layers.convolutional.ZeroPadding3D(padding=(<span class="hljs-number">1</span>, <span class="hljs-number">1</span>, <span class="hljs-number">1</span>), data_format=<span class="hljs-keyword">None</span>) 将数据的三个维度上填充0 参数 padding:整数tuple,表示在要填充的轴的起始和结束处填充0的数目,这里要填充的轴是轴3,轴4和轴5,‘channels_last’模式下则是轴2,3和4 padding: Int, or tuple of 3 ints, or tuple of 3 tuples of 2 ints. If int: the same symmetric padding is applied to height ...