搜索资源列表
Faster-RCNN_TF-master (2)
- 机器学习 关于 faster r-cnn 进行object detection(This is an experimental Tensorflow implementation of Faster RCNN - a convnet for object detection with a region proposal network. For details about R-CNN please refer to the paper Faster R-CNN: Towards Real-Tim
label_image
- 基于TensorFlow框架，实现对图片分类(Achieve classification of pictures)
tensorflow_simple_neuNetwork
- 基于tensorflow的简单神经网络代码实现(Implementation of simple neural network code based on tensorflow)
tensorflow_cov_mnist
- 基于tensorflow的mnist数据集卷积神经网络简单代码实现。(MNIST dataset based on tensorflow convolutional neural network simple code implementation)
Deep_MNIST_for_Expert
- 利用深度学习进行数字分类,分类的正确率非常高。(Using deep learning method to classify digit numbers)
faceRecognition-master
- 基于python+opencv+cnn的人脸识别的学习demo(Study demo of face recognition based on python + opencv + CNN)
ImageProcessing-master
- 将图片读入python转化为tensorflow能识别的二进制文件(the transfer from a picture to Binary file in python)
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
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
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.)
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
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)
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)
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)
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)
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)