VAE重构数据伪代码

以下是VAE重构数据的伪代码：

# 定义编码器
def encoder(input_img):
    # 编码器网络结构
    # ...
    # 计算均值和方差
    z_mean, z_log_variance = ...
    return z_mean, z_log_variance

# 定义解码器
def decoder(z):
    # 解码器网络结构
    # ...
    # 重构图像
    reconstructed_img = ...
    return reconstructed_img

# 构建VAE模型
input_img = ...
z_mean, z_log_variance = encoder(input_img)
z = z_mean + exp(z_log_variance) * epsilon
reconstructed_img = decoder(z)
model = Model(input_img, reconstructed_img)

以上是用Keras实现VAE的伪代码。首先，定义了编码器和解码器的网络结构。编码器将输入图像压缩为低维表示，计算出均值和方差。解码器将低维表示恢复为原始数据，生成重构图像。然后，通过将均值和方差结合随机噪声epsilon生成潜在变量z。最后，构建VAE模型，输入图像经过编码器得到z，再通过解码器生成重构图像。
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