搜索资源列表
function-RbmX
- 人工智能深度学习中限制玻尔兹曼机源代码,matlab程序-Artificial Intelligence depth study limitations Boltzmann machine source code, matlab program
caffe-master
- Caffe安装包,caffe是一个清晰,可读性高,快速的深度学习框架。(Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD
深度卷积神经网络
- 作为类脑计算领域的一个重要研究成果,深度卷积神经网络已经广泛应用到计算机视觉、自然语言处理、信息检索、语音识别、语义理解等多个领域,在工业界和学术界掀起了神经网络研究的浪潮,促进了人工智能的发展。卷积神经网络直接以原始数据作为输入,从大量训练数据中自动学习特征的表示。(As the important research achievement, deep convolutional neural networks have been widely applied to various fiel
65940018
- 具有机器学习的许多算法,对学习机器学习有很大帮助,希望在此能帮助到大家,()
ussrpgimemaintanence
- 一天掌握DFT,简单易懂的英文资料,内有部分代码,推荐学习,()
fygal
- 一个用于支持向量机以及机器学习的软件机器源代码()
833009
- FP算法源代码,大家一起学习数据挖掘,互相讨论!()
minzmum
- 基本遗传学习分类系统,编写了基本遗传算法程序()
131399
- 本程序代码是PSO算法的又一个实例代码,希望大家共同学习()
jxmanticsprocesssconstraint
- 本程序实现了红黑树的插入,删除等算法,学习红黑树的可以下载看看,很有价值哦!()
USOMJVC029
- 这是学习动态规划时用动态规划设计分析实际问题,用动态规划方法设计的数塔问题,棋盘覆盖,和01背包问题的源码,希望朋友们需要()
NMMZ
- 这是关于kalman的程序,对学习kalman的人会有一定的帮助()
数字识别
- 人工智能深度学习,基于matlab的数字识别程序(Artificial intelligence deep learning, matlab based digital recognition program)
深度学习 中文版
- 深度学习书,学习人工智能必不可少的两大经典之一,最好看看(Enlightenment depth learning book, suitable for artificial intelligence learning and getting started knowledge popularization)
神经网络与深度学习中文版
- 人工智能学习,内容比较好,适合初学者,而且讲的非常的浅显易懂(=AI is good at learning and content. It is suitable for beginners, and it is very easy to understand.)
03_III._DIVIDE__CONQUER_ALGORITHMS_Week_1
- 人工智能,深度学习,神经网络,基础算法,适合学习的PPT /视频(Artificial intelligence)
Machine Learning
- 作者是Prateek Joshi.人工智能专家。本书注重于对基于机器学习中深度学习内容的分析,并附上了许多经典案例,非常值得一读。(The writer is an expert in Prateek Joshi. AI. This book focuses on the analysis of in-depth learning in machine-based learning, and attaches many classic cases, which are worth reading
Deep learning tensorboard
- 这个一个人工智能中深度学习下的网络查看源码Tensorboard,网络运行过程中,通过对该代码的查看,可以及时了解网络性能,便于调节网络结构、参数等。
LeNet
- 本文档是LeNet的源代码,主要用于迁移学习,当然可以进行相应的调整和改进,使得性能更加优越。(This document is the source code of LeNet, which is mainly used for migration learning. Of course, corresponding adjustments and improvements can be made to make the performance more superior.)
神经网络3
- 人工智能分割图像方法,运用深度学习实现,程序可直接使用(The method of image segmentation based on artificial intelligence and realized by deep learning)