介绍
统计学习
优化
卷积网络
循环和递归网络
生成模型/无监督
- 生成对抗网络
- 自编码器
  - Auto-encoding variational Bayes
深入理解
- 卷积网络
  - Visualizing and Understanding Convolutional Networks
- 模型蒸馏
  - Distilling the knowledge in a neural network
元学习
- Fine-tune
  - On First-Order Meta-Learning Algorithms
  - MAML
自动机器学习
- 超参数
  - Bayesian Optimization
  - PBT
- 神经架构搜索
  - NAS
  - NASNet
  - DARTS
  - AMC
硬件
- CUDA
  - CUDA C Programming Guide
    Introduction
    Programming Model
    Programming Interface
- 分布式训练
  - Ring All Reduce

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Efficient BackProp

Efficient BackProp

Previous学习方法 Next使用Numpy实现卷积神经网络（推导前馈和反向传播）

Last updated 6 years ago

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