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
- 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
- 【编程基础教程】Understand TensorFlow by mimicking its API from scratch
- 【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
- 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
- A PyTorch Implementation of L-BFGS
- open cv python 中文教程
- 简易的python GUI
