▍1. 深度学习
开源书籍深度学习,花书,学习深度学习的圣经(Deep learning open source)
开源书籍深度学习,花书,学习深度学习的圣经(Deep learning open source)
说明: 开源书籍深度学习,花书,学习深度学习的圣经(Deep learning open source)
说明: 实现cifar10神经网络的训练和图像识别(An implement of cifar10 on tensorflow and python.)
说明: 使用python编程语言实现了蚁群优化算法,有利于新人增强对该算法的了解。(Ant colony optimization algorithm is imple)
基于python语言的适用于移动端应用的开源人脸识别算法mobilefacenet算法(Open source face recognition algorithm for mobile applications based on Python language)
说明: 基于python语言的适用于移动端应用的开源人脸识别算法mobilefacenet算法(Open source face recognition algorithm for mobile applications based on Python language)
Keras 示例代码,包括CNN,LSTM,CNN-LSTM等,非常全面。(Keras sample code, including CNN, LSTM, CNN-LSTM, and so on, is very comprehensive.)
以slam为核心的python实现代码,包含可视化组件(some slam code with the python script)
说明: 以slam为核心的python实现代码,包含可视化组件(some slam code with the python script)
一个BP神经网络解决分类问题,数据集是Iris数据集(Here is a bp ANN for classify,the dataset used is the Iris dataset)
获取nao机器人全身各个部位的关节角度值,并且以矩阵的形式输出(Get nao robot joint angle values for each part of the body, and output in the form of a matrix)
说明: 基于文本内容的垃圾短信识别,对数据进行了数据清洗,分词等,进行 了模型训练及评价(Based on the text content of spam short message recognition, data cleaning, segmentation, model training and evaluation are carried out)
说明: 采用事件分析法预测股票,是一种有效的方法(The event method has high accuracy in stock prediction)
简单的SVD基于movielens的开发python程序(this is a simple SVD write by python base on movielens dataset)
说明: 实现bp神经网络,进行简单的bp网络实现,使用python代码实现(Realization of BP neural network)
说明: 可以修改各种参数,输出可视化,迭代次数与误差收敛曲线(Parameters can be modified)
说明: 使用python的tensorflow库进行u-net进行图像去噪(Using tensorflow Library of Python for u-net image denoising)
能然黑夜的图片变成白天,效果很逼真,很牛(If the picture of night turns into day, the effect is very vivid and cattle.)
说明: 能然黑夜的图片变成白天,效果很逼真,很牛(If the picture of night turns into day, the effect is very vivid and cattle.)
说明: 深度信念网络程序详解,可以实现数据回归和分类,自动提取关键成分。(Detailed explanation of deep belief network program can realize data regression and classification, and automatically extract key components.)