Python采用keras训练GAN生成对抗网络输出手写数字代码-python代码-BFW代码库

Python采用keras训练GAN生成对抗网络输出手写数字代码

代码语言：python

代码描述：Python采用keras训练GAN生成对抗网络输出手写数字代码

代码标签： Python keras 训练 GAN 生成对抗网络输出手写数字代码

下面为部分代码预览，完整代码请点击下载或在bfwstudio webide中打开

#!/usr/local/python3/bin/python3
# -*- coding: utf-8 -*
from tensorflow.keras.datasets import mnist
from tensorflow.keras.layers import Dense, Dropout, Input
from tensorflow.keras.models import Model,Sequential
from tensorflow.python.keras.layers.advanced_activations import LeakyReLU
from tensorflow.keras.optimizers import Adam
from tqdm import tqdm
import numpy as np
import matplotlib.pyplot as plt

# from google.colab import drive
# drive.mount('/content/gdrive')
# path = 'gdrive/My Drive/Project/Practice/Result_GAN/'
#导入数据集
def load_data():
  (x_train, y_train), (_, _) = mnist.load_data()
  x_train = (x_train.astype(np.float32) - 127.5)/127.5
  x_train = x_train.reshape(60000, 784)
  return (x_train, y_train)

X_train, y_train = load_data()
print(X_train.shape, y_train.shape)


def build_generator():
    model = Sequential()
    
    model.add(Dense(units=256, input_dim=100))
    model.add(LeakyReLU(alpha=0.2))
    
    model.add(Dense(units=512))
    model.add(LeakyReLU(alpha=0.2))
    
    model.add(Dense(units=1024.........完整代码请登录后点击上方下载按钮下载查看