【推荐】不用博士学位玩转Tensorflow深度学习

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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