deeplearning
  • Introduction
  • 神经网络
    • 激励函数
    • 反向传播
  • Auto Encoder
    • Denoising Autoencoder
    • Variational Autoencoder
    • Wasserstein AE
  • CNN
    • Convolution
    • pooling
  • RBM
  • RBF
  • RNN
    • LSTM
    • practice
    • Transformer
  • DQN
    • nothing
    • Combinatorial Optimization
  • GAN
  • kownledge graphs
  • Genetic Algorithm
  • Meta Learning
  • Transformer
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Transformer

PreviousMeta Learning

Last updated 1 year ago

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https://zhuanlan.zhihu.com/p/147310766  整理了12小时,只为让你20分钟搞懂Seq2seq  挺易懂的
https://zhuanlan.zhihu.com/p/51383402 完全解析RNN, Seq2Seq, Attention注意力机制
https://zhuanlan.zhihu.com/p/46040939  草稿纸上的seq2seq模型与Attention机制
https://zhuanlan.zhihu.com/p/60127009  图解-基于Attention的Seq2Seq模型

https://www.zhihu.com/question/445556653 如何最简单、通俗地理解Transformer。  (大模型必须知道 Transformer)
https://mp.weixin.qq.com/s/o__YU5vlfKi4HGytlug3og  赛尔译文 | 从头开始了解Transformer
赛尔译文 | 从头开始了解Transformer
图解Transformer(完整版)