課程信息
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第 1 門課程(共 5 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

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中級

完成時間大約為18 小時

英語(English)

字幕:中文(繁體), 阿拉伯語(Arabic), 法語(French), 烏克蘭語, 中文(簡體), 巴西葡萄牙語, 韓語, 土耳其語(Turkish), 英語(English), 西班牙語(Spanish), 日語...

您將獲得的技能

Artificial Neural NetworkBackpropagationPython ProgrammingDeep Learning

第 1 門課程(共 5 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

中級

完成時間大約為18 小時

英語(English)

字幕:中文(繁體), 阿拉伯語(Arabic), 法語(French), 烏克蘭語, 中文(簡體), 巴西葡萄牙語, 韓語, 土耳其語(Turkish), 英語(English), 西班牙語(Spanish), 日語...

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 2 小時

Introduction to deep learning

7 個視頻 (總計 76 分鐘), 2 個閱讀材料, 1 個測驗
7 個視頻
Welcome5分鐘
What is a neural network?7分鐘
Supervised Learning with Neural Networks8分鐘
Why is Deep Learning taking off?10分鐘
About this Course2分鐘
Course Resources1分鐘
Geoffrey Hinton interview40分鐘
2 個閱讀材料
Frequently Asked Questions10分鐘
How to use Discussion Forums10分鐘
1 個練習
Introduction to deep learning20分鐘
2
完成時間為 8 小時

Neural Networks Basics

19 個視頻 (總計 161 分鐘), 6 個閱讀材料, 3 個測驗
19 個視頻
Logistic Regression5分鐘
Logistic Regression Cost Function8分鐘
Gradient Descent11分鐘
Derivatives7分鐘
More Derivative Examples10分鐘
Computation graph3分鐘
Derivatives with a Computation Graph14分鐘
Logistic Regression Gradient Descent6分鐘
Gradient Descent on m Examples8分鐘
Vectorization8分鐘
More Vectorization Examples6分鐘
Vectorizing Logistic Regression7分鐘
Vectorizing Logistic Regression's Gradient Output9分鐘
Broadcasting in Python11分鐘
A note on python/numpy vectors6分鐘
Quick tour of Jupyter/iPython Notebooks3分鐘
Explanation of logistic regression cost function (optional)7分鐘
Pieter Abbeel interview16分鐘
6 個閱讀材料
Clarification about Upcoming Logistic Regression Cost Function Video1分鐘
Clarification about Upcoming Gradient Descent Video1分鐘
Derivation of DL/dz (optional reading)10分鐘
Clarification of "dz"10分鐘
Deep Learning Honor Code2分鐘
Programming Assignment FAQ10分鐘
1 個練習
Neural Network Basics20分鐘
3
完成時間為 5 小時

Shallow neural networks

12 個視頻 (總計 109 分鐘), 2 個閱讀材料, 2 個測驗
12 個視頻
Neural Network Representation5分鐘
Computing a Neural Network's Output9分鐘
Vectorizing across multiple examples9分鐘
Explanation for Vectorized Implementation7分鐘
Activation functions10分鐘
Why do you need non-linear activation functions?5分鐘
Derivatives of activation functions7分鐘
Gradient descent for Neural Networks9分鐘
Backpropagation intuition (optional)15分鐘
Random Initialization7分鐘
Ian Goodfellow interview14分鐘
2 個閱讀材料
Clarification: Activation Function1分鐘
Clarification about Upcoming Backpropagation intuition (optional)1分鐘
1 個練習
Shallow Neural Networks20分鐘
4
完成時間為 5 小時

Deep Neural Networks

8 個視頻 (總計 64 分鐘), 3 個閱讀材料, 3 個測驗
8 個視頻
Forward Propagation in a Deep Network7分鐘
Getting your matrix dimensions right11分鐘
Why deep representations?10分鐘
Building blocks of deep neural networks8分鐘
Forward and Backward Propagation10分鐘
Parameters vs Hyperparameters7分鐘
What does this have to do with the brain?3分鐘
3 個閱讀材料
Clarification about Getting your matrix dimensions right video1分鐘
Clarification about Upcoming Forward and Backward Propagation Video1分鐘
Clarification about What does this have to do with the brain video1分鐘
1 個練習
Key concepts on Deep Neural Networks20分鐘
4.9
12055 個審閱Chevron Right

39%

完成這些課程後已開始新的職業生涯

38%

通過此課程獲得實實在在的工作福利

11%

加薪或升職

來自神经网络与深度学习的熱門評論

創建者 AGMar 7th 2019

I understand all those thing which you have discussed in this course and I also like the way first tell story of concet and assign assignment. Now I fall in love with neural network and deep learning.

創建者 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.

講師

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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

關於 deeplearning.ai

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

關於 深度学习 專項課程

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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