搜索资源列表
Gesture
- 自己用opencv写的手势识别的软件。界面简单点，用动态前景分割肤色模型和直方图反演分割手部区域，然后用模式识别方法搞定识别问题。绝对原创，以后可能再也不搞这方面了，传上来跟大家分享-Own use opencv gesture recognition software to write. Interface simply, skin color model with dynamic foreground segmentation and histogram segmentation of ha
WriterIdentification
- 写手识别,需要微软的写手识别引擎支持!谢谢下载!-Writer identification, required Microsoft to support the writers Recognition Engine! Download Thank you!
wenzishibie
- 能够实现对手写数字的识别，是文字识别的基础，刚接触图像处理，是用于练手的一个不错的小程序-Able to achieve the recognition of handwritten digits, and is the basis for character recognition, image processing fourth year, is a small program used to train a good hand
turn_wrist
- 用python写的，基于加速度传感器识别翻转手腕的手环算法-Write a python-based, hand-ring algorithm based on the acceleration sensor to identify the flip wrist
NumberRecognizer
- 在matlab平台上进行的数字识别，样本为手写的0-9的数字(number recognition in matlab)
input_data
- mnist数据集的导入文件，官网上有可能进不去(def maybe_download(filename, work_directory): """Download the data from Yann's website, unless it's already here.""")
sjricf
- 介绍一种新颖的联机手写英文识别解码算法,采用主笔画层次建立Beam Viterbi算法,()
deep_autoencoder_or_classifier@MNISTdigits
- SAE手写数字识别 MATLAB代码 deep learning(SAE deep learning MATLAB)
张哲_017034910051_03
- 基于tensorflow的手写数字识别，MLP和CNN对比(the compare between MLP and CNN in Handwriting recognition.)
kNN
- 手势识别源代码，需要百度下载training和test（训练集和测试集）能够实现手写0-9数字的识别，并在40秒以内完成(Python.number recognition.)
Python神经网络编程.pdf+代码
- 本书首先从简单的思路着手，详细介绍了理解神经网络如何工作所必须的基础知识。第一部分介绍基本的思路，包括神经网络底层的数学知识，第2部分是实践，介绍了学习Python编程的流行和轻松的方法，从而逐渐使用该语言构建神经网络，以能够识别人类手写的字母，特别是让其像专家所开发的网络那样地工作。第3部分是扩展，介绍如何将神经网络的性能提升到工业应用的层级，甚至让其在Raspberry Pi上工作。(This book begins with a brief introduction to the basi
Tensorflow CNN
- 卷积神经网络识别手写数字，放在jupyter直接跑，99%识别率，已经和Tensorboard联通好了(Convolutional neural network recognizes handwritten numerals and runs directly on jupyter. The recognition rate is 99%. It has been connected with Tensorboard.)
convolutional_network
- 用tensorflow搭建卷积神经网络实现手写数据集的识别(Recognition of Handwritten Data Set by Constructing Convolutional Neural Network with Tenorflow)
MNIST数据集
- 手写数字识别数据集的训练集和测试集，关于BP神经网络(Handwritten digit recognition data set)
mnist手写数字识别
- 本代码运行良好，代码包括全连接网络和卷积网络，同时附有数据集，非常方便初学者使用。
深度学习基础
- 了解深度学习基本原理 掌握TensorFlow基本概念和应用 掌握tensorboard基本应用 掌握PaddlePaddle基本应用(Understand the fundamentals of deep learning Master the basic concept and application of tensorflow Master the basic application of tensorboard Master the basic application of
RBF
- 基于RBF的手写数字图像识别，matlab程序，欢迎下载交流(Based on RBF handwritten digital image recognition, matlab program, welcome to download and exchange)