搜索资源列表
Hands_on_ML
- 很棒的入门向机器学习/数据科学的图书，基于scikit learn和TensorFlow库，手把手叫你如何上手机器学习，如何做数据挖掘。(the Best seller In American Amazon. With this book, you can learn a lot about how to use sklean and Tensorflow, in addition, you can have a practical understanding on the whole mach
pixel-recursive-super-resolution-master
- 谷歌Pixel Recursive Super Resolution的代码(TensorFlow implementation of Pixel Recursive Super Resolution.)
SRGAN-master
- 深度对抗学习用于超分辨率成像，在Windows平台下 使用TensorFlow(Depth confrontation learning for super resolution imaging)
Sig_fig
- 分类两组图片,利用了 PIL 和 Tensorflow 进行训练(classify two kinds of photograph)
ids-kdd99
- 基于Tensorflow用CNN（卷积神经网络）处理kdd99数据集，代码包括预处理代码和分类代码，准确率99.6%以上，并且快速收敛至最优值。(Based on Tensorflow (convolutional neural network) processing KDD99 data set based on CNN, the code includes preprocessing code and classification code, the accuracy rate is mor
tensorflow-wavenet-master
- wavenet for speech synthesis using google tensor flow algorithm
cnn
- 卷积神经网络（CNN），TensorFlow框架下运行，基于MNIST手写体数据集，可直接运行(Convolutional Neural Network (CNN), run under TensorFlow framework, can run directly based on MNIST handwritten dataset)
gan_practice-master
- GAN，DCGAN，WGAN，improved-GAN 4种生成对抗网络的tensorflow实现(Complition of GAN,DCGAN,WGAN and improved-GAN with tensorflow.)
01_TF_basics_and_linear_regression
- 在tensorflow中实现linear regression(To achieve linear regression by tensorflow)
tensorflow_basic
- 介绍tensorflow_basic的一些基本的内容，可以使初学者了解tensorflow(introduce tensorflow_basic)
Desktop
- complete AlexNet with tensorflow
RNN.ipynb
- tensorflow人工智能代码，RNN(tensorflow sourceCode:RNN)
wps-back
- 采用tensorflow的深度学习框架，采用opencv，采用时间戳，和特征抓取，自动抓取图片特征，然后存储(Using tensorflow's deep learning framework, opencv, timestamp, and feature capture are used to automatically capture image features, and then store them)
FCN.tensorflow-master.tar
- its a code packages for image segmentaion
1_notmnist
- 爬取数据、整理并打包成pickle文件、用于机器学习亦或者深度学习、适合TensorFlow开发者使用。(Crawling data, sorting and packaging into pickle files)
unet-master
- 基于tensorflow的u_net的实现(Implementation of u_net based on tensorflow)
tfAlexNet-master
- 基于tensorflow的alexnet实现，用于机器学习图片分类网络模型入门(Tensorflow based alexnet implementation for machine learning picture classification network model introduction)
DeepSpeech-master
- Project DeepSpeech is an open source Speech-To-Text engine. It uses a model trained by machine learning techniques, based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow project to make the implementation easier.
深度学习中文版
- 本文介绍了TensorFlow的基础原理与应用，并侧重于结合实际例子讲解使用TensorFlow的方法。(This paper introduces the basic principles and applications of TensorFlow, and focuses on the use of the practical examples to explain the method of using TensorFlow.)
Mysummarize_reviews
- 用tensorflow编写的基于seq2seq的文本摘要代码，请用jupyter打开(Seq2seq based text summary code written in tensorflow, please open it with jupyter)