搜索资源列表
tensorflow_study_cifar10
- tensorflow中图像识别的学习程序(The learning program for image recognition in tensorflow)
LinearRegression.py.tar
- 在ubuntu平台,用tensorflow可以实现线性回归(Linear regression can be achieved)
demo
- 一个tensorflow的简单例子 里面有一点注释。 自己自学的时候写的(A simple example of tensorflow There is a little note in it. I wrote it when I was learning by myself)
SRCNN-Tensorflow
- SRCNN Superresolution imteplated by tensorflow SRCNN tensorflow 实现(SRCNN Superresolution imteplated by tensorflow)
pratice
- python，tensorflow包中sess.run的使用例子，简短明白(Python, tensorflow package sess.runr examples of the use of, short and clear)
Titanic-master
- 此包含有基于TensorFlow平台上的一个分类问题，适合初学者使用。含有实验数据，测试数据，完整代码，优化代码，可视化代码。(This package contains a classification problem based on TensorFlow platform, suitable for beginners to use. Contains experimental data, test data, complete code, optimization code, visua
Sparse-Autoencoder-Tensorflow-master
- 稀疏自编码结构，用一个训练样例。。。。。。(sparse autoencoder sample)
test
- tensorflow测试 计算mnist识别准确率 以及计算时间(tensorflow test Calculate the MNIST recognition accuracy and calculation time)
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)