If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "superpower" that will let you build AI systems that just weren't possible a few years ago.
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您将获得的技能
Artificial Neural NetworkBackpropagationPython ProgrammingDeep Learning
学生职业成果
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
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第 1 门课程（共 5 门）
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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, 越南语, 韩语, 土耳其语（Turkish）, 英语（English）, 西班牙语（Spanish）, 日语
教学大纲 - 您将从这门课程中学到什么
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.
完成时间为 2 小时
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 learning30分钟
完成时间为 8 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.
完成时间为 8 小时
19 个视频 （总计 161 分钟）, 6 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
6 个阅读材料
Clarification about Upcoming Logistic Regression Cost Function Video1分钟
Clarification about Upcoming Gradient Descent Video1分钟
Derivation of DL/dz (optional reading)10分钟
Clarification of "dz"10分钟
Deep Learning Honor Code2分钟
Programming Assignment FAQ10分钟
1 个练习
Neural Network Basics30分钟
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.
完成时间为 5 小时
12 个视频 （总计 109 分钟）, 2 个阅读材料, 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
2 个阅读材料
Clarification: Activation Function1分钟
Clarification about Upcoming Backpropagation intuition (optional)1分钟
1 个练习
Shallow Neural Networks30分钟
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.
完成时间为 5 小时
8 个视频 （总计 64 分钟）, 3 个阅读材料, 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
3 个阅读材料
Clarification about Getting your matrix dimensions right video1分钟
Clarification about Upcoming Forward and Backward Propagation Video1分钟
Clarification about What does this have to do with the brain video1分钟
1 个练习
Key concepts on Deep Neural Networks30分钟
4.9
13,628 条评论来自神经网络与深度学习的热门评论
I highly appreciated the interviews at the end of some weeks. I am currently trying to transition from a research background in Systems/Computational Biology to work professionally in deep learning :)
This is a very good course for people who want to get started with neural networks. Andrew did a great job explaining the math behind the scenes. Assignments are well-designed too. Highly recommended.
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.
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