Deep Learning With Keras 简明教程

Deep Learning with Keras Tutorial

深度学习本质上意味着使用大量数据训练人工神经网络 (ANN)。在深度学习中，网络通过自身学习，因此需要大量数据进行学习。在本教程中，您将学习在构建深度神经网络中使用 Keras。我们将研究教学的实际示例。

Deep Learning essentially means training an Artificial Neural Network (ANN) with a huge amount of data. In deep learning, the network learns by itself and thus requires humongous data for learning. In this tutorial, you will learn the use of Keras in building deep neural networks. We shall look at the practical examples for teaching.

Audience

本教程专为有志于在深度学习和神经网络框架领域发展职业的专业人士编写。本教程旨在让您舒适地入门 Keras 框架概念。

This tutorial is prepared for professionals who are aspiring to make a career in the field of deep learning and neural network framework. This tutorial is intended to make you comfortable in getting started with the Keras framework concepts.

Prerequisites

在继续本教程中给出的各种概念类型之前，我们假设读者对深度学习框架有基本的了解。除此之外，如果读者对 Python 和机器学习有扎实的了解，那将非常有帮助。

Before proceeding with the various types of concepts given in this tutorial, we assume that the readers have basic understanding of deep learning framework. In addition to this, it will be very helpful, if the readers have a sound knowledge of Python and Machine Learning.