lec21.VAE_2.pdf

Neural Networks Variational Autoencoders Part 2

lec6.stochastic_gradient.pdf

Training Neural Networks: Optimization

计算机体系结构-胡老师课件

胡老师讲计算机体系结构的课件分享，一共13章： 自主CPU发展道路 LEC01_计算机系统结构基础.pdf LEC02_二进制与逻辑电路.pdf LEC03_指令系统结构.pdf LEC04_静态流水

lec1.intro.pdf

Neural Networks

lec3.learning.pdf

Learning the network: Part 1

麻省理工matlab课件-MIT6_094IAP10_lec04.pdf

麻省理工matlab课件-MIT6_094IAP10_lec04.pdf 本帖最后由 sunchy11 于 2012-2-8 15:46 编辑 分享个MIT的matlab 教程，属于初级入门，希望对大

lec17.hopfield.pdf

Neural Networks Hopfield Nets and Auto Associators Spring 2020

麻省理工matlab课件-MIT6_094IAP10_lec05.pdf

麻省理工matlab课件-MIT6_094IAP10_lec05.pdf 本帖最后由 sunchy11 于 2012-2-8 15:46 编辑 分享个MIT的matlab 教程，属于初级入门，希望对大

lec4.learning.p1.pdf

Neural Networks Learning the network: Backprop

lec4.learning.p2.pdf

Neural Networks Learning the network: Backprop

MIT6_0001F16_Lec1.pdf

MIT 6.0001 Python 网络课讲义1, Dr Ana Bell, 有相应的视频和Py程序

lec5.convergence.pdf

Neural Networks: Optimization Part 1

lec11.recurrent.pdf

Deep Learning Recurrent Networks : 1 Spring 2020

lec14.recurrent.pdf

Deep Learning Sequence to Sequence models: Connectionist Temporal Classification

lec8.CNN.pdf

Deep Neural Networks Scanning for patterns (aka convolutional networks)

lec10.CNN.pdf

Deep Neural Networks Convolutional Networks III

lec12.recurrent.pdf

Recurrent Networks: Stability analysis and LSTMs

lec9.CNN.pdf

Deep Neural Networks Convolutional Networks II

lec0.logistics.pdf

Introduction to Deep Neural Networks

lec19.BM.pdf

Neural Networks Hopfield Nets and Boltzmann Machines

lec16.representations.pdf

Neural Networks Representations

lec13.recurrent.pdf

Deep Learning Recurrent Networks Part 3

lec2.universal.pdf

Neural Networks: What can a network represent

lec7.optimizersandregularizers.pdf

Training Neural Networks: Optimizers and Regularizers

lec15.attention.pdf

Deep Learning Sequence to Sequence models: Attention Models

APS1080 LEC1.pdf

APS1080 入门级强化学习学习笔记

MIT6_0001F16_Lec2.pdf

MIT 6.0001 Python 网络课讲义2, Dr Ana Bell, 有相应的视频和Py程序

lec18.hopfield2.pdf

Neural Networks Hopfield Nets and Boltzmann Machines Spring 2020

lec-20-Meta Reinforcement Learning.pdf

lec-20-Meta Reinforcement Learning.pdf

approx_lec_1_.ppt

本文件主要介绍了传统的数据结构算法，属于提高部分包含了动态规划，贪心，分治，回朔等部分。当前文档是近似算法部分，如果您想了解更多，欢迎查看本人上传的其它资源。