课程信息
4.9
26,454 个评分
2,975 个审阅
专项课程

第 2 门课程(共 5 门)

100% 在线

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

可灵活调整截止日期

根据您的日程表重置截止日期。
初级

初级

完成时间(小时)

完成时间大约为14 小时

建议:3 weeks, 3-6 hours per week...
可选语言

英语(English)

字幕:英语(English), 中文(繁体), 中文(简体), 韩语, 土耳其语(Turkish)

您将获得的技能

HyperparameterTensorflowHyperparameter OptimizationDeep Learning
专项课程

第 2 门课程(共 5 门)

100% 在线

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

可灵活调整截止日期

根据您的日程表重置截止日期。
初级

初级

完成时间(小时)

完成时间大约为14 小时

建议:3 weeks, 3-6 hours per week...
可选语言

英语(English)

字幕:英语(English), 中文(繁体), 中文(简体), 韩语, 土耳其语(Turkish)

教学大纲 - 您将从这门课程中学到什么

1
完成时间(小时)
完成时间为 8 小时

Practical aspects of Deep Learning

...
Reading
15 个视频 (总计 131 分钟), 4 个测验
Video15 个视频
Bias / Variance8分钟
Basic Recipe for Machine Learning6分钟
Regularization9分钟
Why regularization reduces overfitting?7分钟
Dropout Regularization9分钟
Understanding Dropout7分钟
Other regularization methods8分钟
Normalizing inputs5分钟
Vanishing / Exploding gradients6分钟
Weight Initialization for Deep Networks6分钟
Numerical approximation of gradients6分钟
Gradient checking6分钟
Gradient Checking Implementation Notes5分钟
Yoshua Bengio interview25分钟
Quiz1 个练习
Practical aspects of deep learning20分钟
2
完成时间(小时)
完成时间为 4 小时

Optimization algorithms

...
Reading
11 个视频 (总计 92 分钟), 2 个测验
Video11 个视频
Understanding mini-batch gradient descent11分钟
Exponentially weighted averages5分钟
Understanding exponentially weighted averages9分钟
Bias correction in exponentially weighted averages4分钟
Gradient descent with momentum9分钟
RMSprop7分钟
Adam optimization algorithm7分钟
Learning rate decay6分钟
The problem of local optima5分钟
Yuanqing Lin interview13分钟
Quiz1 个练习
Optimization algorithms20分钟
3
完成时间(小时)
完成时间为 5 小时

Hyperparameter tuning, Batch Normalization and Programming Frameworks

...
Reading
11 个视频 (总计 104 分钟), 2 个测验
Video11 个视频
Using an appropriate scale to pick hyperparameters8分钟
Hyperparameters tuning in practice: Pandas vs. Caviar6分钟
Normalizing activations in a network8分钟
Fitting Batch Norm into a neural network12分钟
Why does Batch Norm work?11分钟
Batch Norm at test time5分钟
Softmax Regression11分钟
Training a softmax classifier10分钟
Deep learning frameworks4分钟
TensorFlow16分钟
Quiz1 个练习
Hyperparameter tuning, Batch Normalization, Programming Frameworks20分钟
4.9
2,975 个审阅Chevron Right
职业方向

36%

完成这些课程后已开始新的职业生涯
工作福利

32%

通过此课程获得实实在在的工作福利

热门审阅

创建者 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.

创建者 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.

讲师

Avatar

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

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 Deep Learning 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....
Deep Learning

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