课程信息
1,642,068

第 1 门课程(共 5 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

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中级

完成时间大约为18 小时

英语(English)

字幕:中文(繁体), 阿拉伯语(Arabic), 法语(French), 乌克兰语, 中文(简体), 巴西葡萄牙语, 韩语, 土耳其语(Turkish), 英语(English), 日语...

您将获得的技能

Artificial Neural NetworkBackpropagationPython ProgrammingDeep Learning

第 1 门课程(共 5 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

中级

完成时间大约为18 小时

英语(English)

字幕:中文(繁体), 阿拉伯语(Arabic), 法语(French), 乌克兰语, 中文(简体), 巴西葡萄牙语, 韩语, 土耳其语(Turkish), 英语(English), 日语...

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 2 小时

Introduction to deep learning

Be able to explain the major trends driving the rise of deep learning, and understand where and how it is applied today. ...
7 个视频 (总计 76 分钟), 2 个阅读材料, 1 个测验
7 个视频
Welcome5分钟
What is a neural network?7分钟
Supervised Learning with Neural Networks8分钟
Why is Deep Learning taking off?10分钟
About this Course2分钟
Course Resources1分钟
Geoffrey Hinton interview40分钟
2 个阅读材料
Frequently Asked Questions10分钟
How to use Discussion Forums10分钟
1 个练习
Introduction to deep learning20分钟
2
完成时间为 7 小时

Neural Networks Basics

Learn to set up a machine learning problem with a neural network mindset. Learn to use vectorization to speed up your models. ...
19 个视频 (总计 161 分钟), 2 个阅读材料, 3 个测验
19 个视频
Logistic Regression5分钟
Logistic Regression Cost Function8分钟
Gradient Descent11分钟
Derivatives7分钟
More Derivative Examples10分钟
Computation graph3分钟
Derivatives with a Computation Graph14分钟
Logistic Regression Gradient Descent6分钟
Gradient Descent on m Examples8分钟
Vectorization8分钟
More Vectorization Examples6分钟
Vectorizing Logistic Regression7分钟
Vectorizing Logistic Regression's Gradient Output9分钟
Broadcasting in Python11分钟
A note on python/numpy vectors6分钟
Quick tour of Jupyter/iPython Notebooks3分钟
Explanation of logistic regression cost function (optional)7分钟
Pieter Abbeel interview16分钟
2 个阅读材料
Deep Learning Honor Code2分钟
Programming Assignment FAQ10分钟
1 个练习
Neural Network Basics20分钟
3
完成时间为 5 小时

Shallow neural networks

Learn to build a neural network with one hidden layer, using forward propagation and backpropagation. ...
12 个视频 (总计 109 分钟), 2 个测验
12 个视频
Neural Network Representation5分钟
Computing a Neural Network's Output9分钟
Vectorizing across multiple examples9分钟
Explanation for Vectorized Implementation7分钟
Activation functions10分钟
Why do you need non-linear activation functions?5分钟
Derivatives of activation functions7分钟
Gradient descent for Neural Networks9分钟
Backpropagation intuition (optional)15分钟
Random Initialization7分钟
Ian Goodfellow interview14分钟
1 个练习
Shallow Neural Networks20分钟
4
完成时间为 5 小时

Deep Neural Networks

Understand the key computations underlying deep learning, use them to build and train deep neural networks, and apply it to computer vision. ...
8 个视频 (总计 64 分钟), 3 个测验
8 个视频
Forward Propagation in a Deep Network7分钟
Getting your matrix dimensions right11分钟
Why deep representations?10分钟
Building blocks of deep neural networks8分钟
Forward and Backward Propagation10分钟
Parameters vs Hyperparameters7分钟
What does this have to do with the brain?3分钟
1 个练习
Key concepts on Deep Neural Networks20分钟
4.9
9,978 个审阅Chevron Right

39%

完成这些课程后已开始新的职业生涯

38%

通过此课程获得实实在在的工作福利

11%

加薪或升职

热门审阅

创建者 SSNov 27th 2017

Fantastic introduction to deep NNs starting from the shallow case of logistic regression and generalizing across multiple layers. The material is very well structured and Dr. Ng is an amazing teacher.

创建者 SKAug 30th 2018

Nothing can get better than this course from Professor Andrew Ng. A must for every Data science enthusiast. Gets you up to speed right from the fundamentals. Thanks a lot for Prof Andrew and his team.

讲师

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Andrew Ng

CEO/Founder Landing AI; Co-founder, Coursera; Adjunct Professor, Stanford University; formerly Chief Scientist,Baidu and founding lead of Google Brain
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Head Teaching Assistant - Kian Katanforoosh

Lecturer of Computer Science at Stanford University, deeplearning.ai, Ecole CentraleSupelec
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Teaching Assistant - Younes Bensouda Mourri

Mathematical & Computational Sciences, Stanford University, deeplearning.ai
Computer Science

关于 deeplearning.ai

deeplearning.ai is Andrew Ng's new venture which amongst others, strives for providing comprehensive AI education beyond borders....

关于 深度学习 专项课程

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....
深度学习

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