搜索资源列表
DCGAN-tensorflow-master
- 这个代码是github上tensorflow版本的DCGAN(This code is the tensorflow version of DCGAN on GitHub)
GAN_By_TensorFlow
- 我自己写的一版基于TensorFlow的GAN实现 运行环境：Windows 系统+python3.0+tensorFlow1.0（CPU版本） 建议先配置好运行环境 cmd命令行执行：Python GAN.py 即可(I implement the GAN based on TensorFlow.)
mnist
- 深度学习时间手写数字识别，使用python和tensorflow实现(Handwritten numerals recognition in depth learning time)
tensorflow_alexnet_classify-master
- 利用tensorflow框架实现的alexnet网络(tensorflow alexnet code implementation)
crfasrnn_keras-master
- Conditional Random Fields as Recurrent Neural Networks 论文中提供的方法，在tensorflow上实现(The method provided in the paper Conditional Random Fields as Recurrent Neural Networks which is implemented on tensorflow)
ResNet_cifar-master
- resnet 在tensorflow上的实现，基于cifar10，cifar100数据集(Implementation of RESNET on tensorflow, based on cifar10, cifar100 data sets)
莫烦tf练习
- tensorflow深度学习，莫烦入门教程代码(Tensorflow deep learning)
DCGAN-tensorflow-master
- tensorflow 聚类算法DCSCAN实现python程序。(tensorflow cluster This is python program for a machine learning program)
SAE
- 使用TensorFlow实现稀疏自编码神经网络，采用数据mnist(Using TensorFlow to realize sparse atuoencoder neural network, using data MNIST)
vae
- 变分自编码结构，用一个mnist数据。。。。。。(Using TensorFlow to realize Variational Auto-Encoder neural network, using data MNIST)
MNIST
- mnist手写体识别，使用tensorflow编写(mnist hand-writing recognition using tensorflow)
2_tf_mnist
- tensorflow，简单神经网络识别手写字符(Recognition of handwritten characters by neural network)
课程资料
- tensorflow入门教程的代码。。。。。。。。。。。。。(The code for the tensorflow introductory tutorial)
LeNet5MNIST
- 使用TensorFlow处理MNIST数据，帮助更好的理解和使用TensorFlow(Using TensorFlow to process MNIST data to help better understand and use TensorFlow)
TensorFlowForMachineIntelligence
- 一本很好的学习tensorflow编程的实战书籍。(A book about hands-on expericence of tensorflow programming)
buildingmachinelearningprojectswithtensorFlow
- 这本书包含了多个不同类型的工程，来说明TensorFlow在不同场景中的应用，这本书的工程包括了训练模型、机器学习、深度学习以及多种神经网络，每个工程都是一个精妙的、有意义的项目，会教我们如何使用TensorFlow并在使用中如何对数据分层。(This book contains a number of different types of engineering, to illustrate the application of TensorFlow in different scenario
3. 完整神经网络样例程序
- 人工神经网络TensorFlow的完整程序(Complete program of neural network)
Scikit-Learn与TensorFlow机器学习实用指南
- Scikit-Learn与TensorFlow机器学习实用指南(Scikit-Learn and TensorFlow machine learning practical guide)
DNI-tensorflow
- Decoupled Neural Interfaces Using Synthetic Gradients
DCGAN-tensorflow-master
- LINUX平台下，当然也可以在windows平台下运行，DCGAN为卷积下的生成对抗网络，在tensorflow平台的基础上。(LINUX platform, of course, can also run on the windows platform, DCGAN is the convolution generation under adversarial networks, based on the tensorflow platform.)