Python Deep Learning 简明教程

Python Deep Learning Tutorial

Python 是一种通用高级编程语言，广泛用于数据科学和生成深度学习算法。

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

本简明教程介绍 Python 及其库（如 Numpy、Scipy、Pandas、Matplotlib）；框架（如 Theano、TensorFlow、Keras）。本教程解释了不同库和框架如何应用于解决复杂的实际问题。

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.

Audience

本教程针对渴望学习 Python 基础知识并开发涉及深度学习技术的应用程序（如卷积神经网络、循环网络、反向传播等）的专业人士而编制。

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.

Prerequisites

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，并具备线性代数、微积分、统计学和基本机器学习技术方面的基础知识。

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.