编程基础教程

入门练手

• TensorFlow-From-Zero-To-One
• 100个python练手题
• 为什么交叉熵（cross-entropy）可以用于计算代价？
• pytorch入门

DL 基础教程

• tf.keras 天气分类

• pytorch基础中文教程-notebook

• keras 预训练的分类模型

• Understanding U-Net shape constraints

• DL-image registration demo (不同模态的配准)

• tf 1.10实现的deeplab v3， pytorch 0.4实现的deeplab v3+

• Fully Convolutional DenseNet (A.K.A 100 layer tiramisu) for semantic segmentation of images implemented in TensorFlow.

• Various topologies with Intel optimizations

• 帝国理工数学系DL课程

• Simple and ready-to-use tutorials for TensorFlow

• 经典机器学习算法

  • Python codes for common Machine Learning Algorithms
  • 李航老师统计学习方法中算法的实现
  • Hands-on Machine Learning with Scikit-Learn and TensorFlow这本书的学习笔记

• 特征筛选分析

• Understand TensorFlow by mimicking its API from scratch

Tricks

• 【用3行Python代码将数据预处理加快2-6倍：善用concurrent.futures模块】《Here’s how you can get a 2–6x speed-up on your data pre-processing with Python》by George Seif 网页链接 pdf:网页链接
• 深度学习产品化部署资料集锦
• python 常见错误

baseline

• Evaluation framework for testing segmentation networks in Keras
  相关博文：Why you should start using In-Place Activated BatchNorm
• ShelfNet for Real-time semantic segmentation
• High quality, fast, modular reference implementation of SSD in PyTorch 1.0

优化算法

• A PyTorch Implementation of L-BFGS

基础图像处理

• open cv python 中文教程
• 简易的python GUI