Python深度学习教程 (Python Deep Learning Tutorial)

Python is a general-purpose high level programming language that is widely used in data science and for producing deep learning algorithms.

Python是一种通用的高级编程语言，已广泛用于数据科学和用于产生深度学习算法。

This brief tutorial introduces Python and its libraries like Numpy, Scipy, Pandas, Matplotlib; frameworks like Theano, TensorFlow, Keras. The tutorial explains how the different libraries and frameworks can be applied to solve complex real world problems.

这个简短的教程介绍了Python及其库，例如Numpy，Scipy，Pandas，Matplotlib； Theano，TensorFlow，Keras等框架。 本教程说明了如何将不同的库和框架应用于解决现实中的复杂问题。

听众 (Audience)

This tutorial has been prepared for professionals aspiring to learn the basics of Python and develop applications involving deep learning techniques such as convolutional neural nets, recurrent nets, back propagation, etc.

本教程是为渴望学习Python基础知识并开发涉及深度学习技术(例如卷积神经网络，递归网络，反向传播等)的应用程序准备的。

先决条件 (Prerequisites)

Before you proceed with this tutorial, we assume that you have prior exposure to Python, Numpy, Pandas, Scipy, Matplotib, Windows, any Linux distribution, prior basic knowledge of Linear Algebra, Calculus, Statistics and basic machine learning techniques.

在继续本教程之前，我们假设您已经接触过Python，Numpy，Pandas，Scipy，Matplotib，Windows，任何Linux发行版，线性代数，微积分，统计和基础机器学习技术的先决知识。

翻译自: https://www.tutorialspoint.com/python_deep_learning/index.htm