TensorFlow-List
TensorFlow Learning & Practices List | TensorFlow 资料索引
Overview | 概述
- 2017-TensorFlow demystified: To understand a new framework, Google’s TensorFlow is a framework for machine-learning calculations, it is often useful to see a ‘toy’ example and learn from it.
- 2017-TensorFlow 代码解析：本文由浅入深的阐述 Tensor 和 Flow 的概念。先介绍了 TensorFlow 的核心概念和基本概述，然后剖析了 OpKernels 模块、Graph 模块、Session 模块。
Case Study | 案例分析
- 2017-Top Five Use Cases of TensorFlow: TensorFlow is mainly used for: Classification, Perception, Understanding, Discovering, Prediction and Creation.
Resource | 资源集锦
Collection
- Awesome TensorFlow #Collection#: A curated list of awesome TensorFlow experiments, libraries, and projects. Inspired by awesome-machine-learning.
- TensorFlow-World-Resources #Collection#: Organized & Useful Resources about Deep Learning with TensorFlow
Tutorial | 教程
- 2018-Tensorflow: The Confusing Parts #Series#: This tutorial is intended for people who already have some experience with both programming and machine learning, and want to pick up Tensorflow.
Concepts | 概念
- 2016-TensorFlow in a Nutshell — Part One: Basics: The fast and easy guide to the most popular Deep Learning framework in the world.
- 2017-Deep Learning in 7 lines of code: The essence of machine learning is recognizing patterns within data. This boils down to 3 things: data, software and math. What can be done in seven lines of code you ask? A lot.
- 2017-How to use Dataset in TensorFlow: This article will explain the basic mechanics of the Dataset, covering the most common use cases.
Series | 系列教程
- 2015-tensorflow_tutorials #Series#: From the basics to slightly more interesting applications of TensorFlow
- 2017-Effective TensorFlow #Series#: My attempt is to gradually expand this series by adding new articles and keep the content up to date with the latest releases of TensorFlow API.
- 2017-TensorFlow 101 #Series#: TensorFlow is an open source machine learning library developed at Google. TensorFlow uses data flow graphs for numerical computations.
- 2017-TensorFlow-World #Series#: This repository is aimed to provide simple and ready-to-use tutorials for TensorFlow.
- 2018-easy-tensorflow, Simple and comprehensive tutorials in TensorFlow #Series#: The goal of this repository is to provide comprehensive tutorials for TensorFlow while maintaining the simplicity of the code.
- 2018-stanford-tensorflow-tutorials #Series#: This repository contains code examples for the course CS 20: TensorFlow for Deep Learning Research.
- 2018-TensorFlow Course #Series#: This repository aims to provide simple and ready-to-use tutorials for TensorFlow. Each tutorial includes source code and most of them are associated with a documentation.
- 2019-TensorFlow 2.x Tutorials #Series#: TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0 版入门实例代码，实战教程。
Last modified 5mo ago