搜索资源列表
cnn-text-classification-tf
- 利用 Tensorflow 构建 CNN 模型实现文本分类(CNN for Text Classification in Tensorflow)
dnn
- 用TensorFlow搭建神经网络，识别手写数字(building the neural network by using TensorFlow to identify mnist dataset)
Car_100_5layers_English
- 车牌识别Python程序，使用五层的CNN网络，使用TensorFlow框架编程(car license plate recongition)
handson-ml-master
- 这个项目的目的是教你机器学习的基本原理。它包含了Hands-on Machine Learning with Scikit-Learn and TensorFlow这本书的示例代码和解决方案。非常好的一本书！(This project aims at teaching you the fundamentals of Machine Learning in python. It contains the example code and solutions to the exercises in
tensorflow_manual_cn
- 关于tensorflow工具包的，一本很好的入门学习书，中文的(About the tensorflow toolkit, a good introductory learning book, Chinese)
yolo_tensorflow-master
- tensorflow 开发的 object detection 源码(A tensorflow based object detection code)
AlexNet
- 使用TensorFlow 实现 AlexNet ，并使用 Mnist 数据集进行训练并测试。(AlexNet is implemented using TensorFlow and trained and tested using the Mnist data set.)
resnet
- 使用 TensorFlow 实现 resNet, 也就是残差网络，为官方demo， 分别用 cifar 数据集和 ImageNet 数据集进行测试。(Using TensorFlow to achieve resNet, that is, the residual network, for official demo, respectively, using cifar data sets and ImageNet data sets for testing.)
cnn
- 这是一个经过自己整理的卷积神经网络的代码，对0-9数据集进行分类的代码，使用tensorflow框架完成的，主要使用的语言是Python，可以直接运行，初学者可以用于学习交流。(This is a self compiled convolutional neural network code, 0-9 data sets for classification of code, using the tensorflow framework to complete, the main languag
demo
- Based on the tensorflow linear regression and simple neural network code, simulation of a line generated by themselves.
5.2.2.py
- MNIST数字识别问题 使用验证数据集判断模型结果(tensorflow.examples.tutorials.mnist After 30000 training step(s), test accuracy using average model is 0.9835)
TENSORFLOW_MACHINE_LEARNING_COOKBOOK
- tensorflow与机器学习、深度学习的cookbook(tensorflow cookbook with machine learning, deep learning)
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)