Introduction to Deep Learning & Neural Networks with Keras

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课程主页: https://www.coursera.org/archive/introduction-to-deep-learning-with-keras

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课程大纲

Introduction to Neural Networks and Deep Learning
Artificial Neural Networks
Keras and Deep Learning Libraries
Deep Learning Models
Course Project

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Looking to start a career in Deep Learning? Look no further. This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what is deep learning, and how do deep learning models compare to artificial neural networks? You will learn about the different deep learning models and build your first deep learning model using the Keras library. After completing this course, learners will be able to: • describe what a neural network is, what a deep learning model is, and the difference between them. • demonstrate an understanding of unsupervised deep learning models such as autoencoders and restricted Boltzmann machines. • demonstrate an understanding of supervised deep learning models such as convolutional neural networks and recurrent networks. • build deep learning models and networks using the Keras library.

Keras的深度学习和神经网络简介:想要开始从事深度学习的职业?别再看了。本课程将向您介绍深度学习领域,并帮助您回答人们当今所问的许多问题,例如什么是深度学习以及深度学习模型与人工神经网络相比如何?您将学习不同的深度学习模型,并使用Keras库构建您的第一个深度学习模型。 完成本课程后,学习者将能够: •描述什么是神经网络,什么是深度学习模型以及它们之间的区别。 •展示出对无监督深度学习模型(例如自动编码器和受限的Boltzmann机器)的理解。 •展示对监督型深度学习模型(例如卷积神经网络和递归网络)的理解。 •使用Keras库建立深度学习模型和网络。

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