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如何理解 RNNs & LSTM 网络及资料

如何理解 RNNs & LSTM 网络及资料

作者: 春风吹又生啊 | 来源:发表于2017-12-20 20:38 被阅读0次

    图解LSTM

    图解LSTM LSTM Block

    Long_Short_Term_Memory

    Web Page

    TensorFlow官方LSTM教程(colah大神Blog):Understanding LSTM Networks (英文)

    简书Not_GOD译文:[译] 理解 LSTM 网络

    Wikipedia:Long_short-term_memory

    theano官网的LSTM教程+代码:LSTM Networks for Sentiment Analysis

    Andrej Karpathy's blog:The Unreasonable Effectiveness of Recurrent Neural Networks

    WILDML |AIDeep LearningNLP:IMPLEMENTING A GRU/LSTM RNN WITH PYTHON AND THEANO

    Schmidhuber的一个LSTM教程:Long Short-Term Memory: Tutorial on LSTM Recurrent Networks

    Nico's blog:Simple LSTMGithub链接参考Paper

    如何用torch实现一层的lstm:LSTM implementation explained

    牛津大学的Nando de Freitas教授的deep learning课程中关于RNN和LSTM的视频和讲义:Lecture 12: Recurrent neural networks and LSTMs

    Anyone Can Learn To Code an LSTM-RNN in Python (Part 1: RNN)

    Long Short-Term Memory | Neural Computation | MIT Press Journals

    图解LSTM神经网络架构及其11种变体(附论文)

    知乎LSTM专栏

    [知乎] 有哪些LSTM(Long Short Term Memory)和RNN(Recurrent)网络的教程?

    [知乎] LSTM神经网络输入输出究竟是怎样的?

    [知乎] 循环神经网络教程第一部分-RNN简介

    Hinton老先生的公开课:Neural Networks for Machine Learning讲LSTM

    csdn Blog :循环神经网络(RNN, Recurrent Neural Networks)介绍

    csdn Blog :LSTM简介以及数学推导(FULL BPTT)

    csdn Blog :论文阅读:A Critical Review of Recurrent Neural Networks for Sequence Learning

    知乎:循环神经网络——实现LSTM|Gitbook - 循环神经网络——介绍

    Eric Yuan's Blog:Recurrent Neural Networks II — LSTM

    Paper

    A Critical Review of Recurrent Neural Networks for Sequence LearningarXiv. 1506.00019

    Supervised Sequence Labelling with Recurrent Neural Networks(Alex Graves. toronto.)

    LONG SHORT-TERM MEMORYcmu. cs.

    LSTM: A Search Space OdysseyarXiv. 1503.04069

    Neural Turing MachinesarXiv. 1410.5401

    计算机视觉中RNN应用于目标检测(zhwhong)

    Github Project

    Github lstm项目搜索:https://github.com/search?utf8=%E2%9C%93&q=lstm

    https://github.com/wojzaremba/lstm(Lua)

    https://github.com/nicodjimenez/lstm(Python)

    https://github.com/junhyukoh/caffe-lstm(C++)

    https://github.com/karpathy/char-rnn(Lua)

    https://github.com/lipiji/rnn-theano(Python theno)

    https://github.com/dophist/kaldi-lstm(C++ kaldi-lstm)

    https://github.com/viorik/ConvLSTM(Lua ConvLSTM)

    https://github.com/huashiyiqike/LSTM-MATLAB(MATLAB)

    Implementing Multiple Layer Neural Network from Scratch:

    https://github.com/pangolulu/neural-network-from-scratch(Python)

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