示例代码：#!/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 2018/9/15 20:48 # @Author : Seven # @Site : # @File : ResnextNet.py # @Software: PyCharm import torch import torch.nn as nn impo

示例代码：#!/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 2018/9/13 19:45 # @Author : Seven # @Site : # @File : train.py # @Software: PyCharm import torch import os import torchvision i

示例代码：#!/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 2018/9/14 13:33 # @Author : Seven # @Site : # @File : VGG.py # @Software: PyCharm import torch.nn as nn model = { 'VG

LeNet网络：def LeNet(inputs): mu = 0 sigma = 0.1 print(inputs.shape) # TODO: 第一层卷积：输入=32x32x3, 输出=28x28x6 conv1_w = tf.Variable(tf.truncated_normal(shape=[5, 5, 3, 6], mean=mu, stdde

训练文件:#!/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 2018/9/7 14:07 # @Author : Seven # @Site : # @File : TrainModel.py # @Software: PyCharm # TODO: 模型训练 # TODO：导入环境 from keras.pre

预处理数据：#!/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 2018/9/6 15:31 # @Author : Seven # @Site : # @File : Read_data.py # @Software: PyCharm # TODO: 加载数据 import pickle import nump

代码：#!/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 2018/9/7 16:59 # @Author : Seven # @Site : # @File : demo.py # @Software: PyCharm import numpy as np import tensorflow as tf n_ob

预处理数据：#!/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 2018/9/6 15:31 # @Author : Seven # @Site : # @File : Read_data.py # @Software: PyCharm # TODO: 加载数据 import pickle import nump

深度卷积生成对抗网络深度卷积生成对抗网络（Deep Convolutional Generative Adversarial Networks, DCGANs）由Alec Radford等于2015年提出。在了解GAN的架构后，我们可以较为容易地了解DCGAN的原理。 稳定的DCGAN架构指南 将pooling layer替换成convolutions layer 对于生成模型：允许网络学习自己的

代码：#!/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 2018/9/4 16:29 # @Author : Seven # @Site : # @File : DCGAN.py # @Software: PyCharm # TODO: 导入环境 import numpy as np import tensorf