Deep Learning Specialization

开始时间: 12/07/2019 持续时间: Unknown

所在平台: Coursera专项课程

课程类别: 计算机科学

大学或机构: CourseraNew

   

课程主页: https://www.coursera.org/specializations/deep-learning

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课程详情

If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning. In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach. You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice. AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work. We will help you master Deep Learning, understand how to apply it, and build a career in AI.

课程大纲

Neural Networks and Deep Learning
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Structuring Machine Learning Projects
Convolutional Neural Networks

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课程简介

Andrew Ng老师的深度学习专项系列课程(Deep Learning Specialization) ,入门深度学习首选课程。这个系列包含5门子课程,涵盖神经网络与深度学习,调参优化,机器学习项目架构,卷积神经网络和递归神经网络,感兴趣的同学可以关注:Deep Learning Specialization-Master Deep Learning, and Break into AI

课程标签

深度学习 深度学习专项 深度学习专项课程 Andrew_Ng 深度学习公开课 Andrew_Ng深度学习 RNN 卷积神经网络 递归神经网络 CNN 深度学习基础 神经网络

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