专栏名称: 机器学习研究会
机器学习研究会是北京大学大数据与机器学习创新中心旗下的学生组织,旨在构建一个机器学习从事者交流的平台。除了及时分享领域资讯外,协会还会举办各种业界巨头/学术神牛讲座、学术大牛沙龙分享会、real data 创新竞赛等活动。
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【推荐】不用博士学位玩转Tensorflow深度学习

机器学习研究会  · 公众号  · AI  · 2017-01-22 21:08

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摘要

转自:爱可可-爱生活

1. Overview

In this codelab, you will learn how to build and train a neural network that recognises handwritten digits. Along the way, as you enhance your neural network to achieve 99% accuracy, you will also discover the tools of the trade that deep learning professionals use to train their models efficiently.

This codelab uses the MNIST dataset, a collection of 60,000 labeled digits that has kept generations of PhDs busy for almost two decades. You will solve the problem with less than 100 lines of Python / TensorFlow code.

What you'll learn

  • What is a neural network and how to train it

  • How to build a basic 1-layer neural network using TensorFlow

  • How to add more layers

  • Training tips and tricks: overfitting, dropout, learning rate decay...

  • How to troubleshoot deep neural networks

  • How to build convolutional networks

What you'll need

  • Python 2 or 3 (Python 3 recommended)

  • TensorFlow

  • Matplotlib (Python visualisation library)

Installation instructions are given in the next step of the lab.


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