Deep Learning

深度学习

• CS231n课程学习

  1. 斯坦福CS231n
  2. 官方翻译笔记
  3. Homework

• 深度学习入门-基于Python的理论与实践

  1. 简单神经网络
  2. 误差反向传播算法
  3. 学习相关的技巧：参数更新，权重，正则化，超参验证等
  4. CNN

• Python神经网络编程

  1. 构建一个神经网络
  2. 利用神经网络辨认手写数字0-9

• 深度学习（花书）

• 神经网络和深度学习-Ng

  1. 网易云课堂
  2. Neural Networks and Deep Learning
  • Week1　Introduction to deep learning
  • Week2　Neural Networks Basics
  • Week3　Shallow Neural networks
  • Week4　Deep Neural Networks
  3. Improving Deep Neural Networks
  • Week1　Practical aspects of Deep Learning(Initialization-Regularization-Gradient Checking)
  • Week2　Optimization algorithms
  • Week3　Hyperparameter tuning, Batch Normalization and Programming Frameworks
  4. Convolutional Neural Network
  • Week1　Foundations of Convolutional Neural Networks
  • Week2　Deep convolutional models: case studies
  • Week3　Object detection
  • Week4　Special applications: Face recognition & Neural style transfer
  5. Sequence Models
  • Week1　Recurrent Neural Networks
  • Week2　Natural Language Processing & Word Embeddings
  • Week3　Sequence models & Attention mechanism

• TensorFlow实战

• TensorFlow深度学习与编程实战

• TensorFlow入门、原理与进阶实战