課程信息
4.9
27,689 個評分
3,086 個審閱
專項課程

第 2 門課程(共 5 門)

100% 在線

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

可靈活調整截止日期

根據您的日程表重置截止日期。
初級

初級

完成時間(小時)

完成時間大約為15 小時

建議:3 weeks, 3-6 hours per week...
可選語言

英語(English)

字幕:英語(English), 中文(繁體), 中文(簡體), 韓語, 土耳其語(Turkish)

您將獲得的技能

HyperparameterTensorflowHyperparameter OptimizationDeep Learning
專項課程

第 2 門課程(共 5 門)

100% 在線

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

可靈活調整截止日期

根據您的日程表重置截止日期。
初級

初級

完成時間(小時)

完成時間大約為15 小時

建議:3 weeks, 3-6 hours per week...
可選語言

英語(English)

字幕:英語(English), 中文(繁體), 中文(簡體), 韓語, 土耳其語(Turkish)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間(小時)
完成時間為 8 小時

Practical aspects of Deep Learning

...
Reading
15 個視頻 (總計 131 分鐘), 4 個測驗
Video15 個視頻
Bias / Variance8分鐘
Basic Recipe for Machine Learning6分鐘
Regularization9分鐘
Why regularization reduces overfitting?7分鐘
Dropout Regularization9分鐘
Understanding Dropout7分鐘
Other regularization methods8分鐘
Normalizing inputs5分鐘
Vanishing / Exploding gradients6分鐘
Weight Initialization for Deep Networks6分鐘
Numerical approximation of gradients6分鐘
Gradient checking6分鐘
Gradient Checking Implementation Notes5分鐘
Yoshua Bengio interview25分鐘
Quiz1 個練習
Practical aspects of deep learning20分鐘
2
完成時間(小時)
完成時間為 4 小時

Optimization algorithms

...
Reading
11 個視頻 (總計 92 分鐘), 2 個測驗
Video11 個視頻
Understanding mini-batch gradient descent11分鐘
Exponentially weighted averages5分鐘
Understanding exponentially weighted averages9分鐘
Bias correction in exponentially weighted averages4分鐘
Gradient descent with momentum9分鐘
RMSprop7分鐘
Adam optimization algorithm7分鐘
Learning rate decay6分鐘
The problem of local optima5分鐘
Yuanqing Lin interview13分鐘
Quiz1 個練習
Optimization algorithms20分鐘
3
完成時間(小時)
完成時間為 5 小時

Hyperparameter tuning, Batch Normalization and Programming Frameworks

...
Reading
11 個視頻 (總計 104 分鐘), 2 個測驗
Video11 個視頻
Using an appropriate scale to pick hyperparameters8分鐘
Hyperparameters tuning in practice: Pandas vs. Caviar6分鐘
Normalizing activations in a network8分鐘
Fitting Batch Norm into a neural network12分鐘
Why does Batch Norm work?11分鐘
Batch Norm at test time5分鐘
Softmax Regression11分鐘
Training a softmax classifier10分鐘
Deep learning frameworks4分鐘
TensorFlow16分鐘
Quiz1 個練習
Hyperparameter tuning, Batch Normalization, Programming Frameworks20分鐘
4.9
3,086 個審閱Chevron Right
職業方向

40%

完成這些課程後已開始新的職業生涯
工作福利

35%

通過此課程獲得實實在在的工作福利
職業晉升

10%

加薪或升職

熱門審閱

創建者 PGOct 31st 2017

Thank you Andrew!! I know start to use Tensorflow, however, this tool is not well for a research goal. Maybe, pytorch could be considered in the future!! And let us know how to use pytorch in Windows.

創建者 CVDec 24th 2017

Exceptional Course, the Hyper parameters explanations are excellent every tip and advice provided help me so much to build better models, I also really liked the introduction of Tensor Flow\n\nThanks.

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

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 Deep Learning 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....
Deep Learning

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