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Learner Reviews & Feedback for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization by DeepLearning.AI

4.9
stars
63,316 ratings

About the Course

In the second course of the Deep Learning Specialization, you will open the deep learning black box to understand the processes that drive performance and generate good results systematically. By the end, you will learn the best practices to train and develop test sets and analyze bias/variance for building deep learning applications; be able to use standard neural network techniques such as initialization, L2 and dropout regularization, hyperparameter tuning, batch normalization, and gradient checking; implement and apply a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence; and implement a neural network in TensorFlow. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

Top reviews

AM

Oct 8, 2019

I really enjoyed this course. Many details are given here that are crucial to gain experience and tips on things that looks easy at first sight but are important for a faster ML project implementation

DD

Mar 28, 2020

I have done two courses under Andrew ng and I am grateful to Coursera for their highly optimised and easily learning course structure. It has greatly help me gain confidence in this field. Thank you.

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5901 - 5925 of 7,271 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By He L

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Jul 6, 2018

cool!

By Ashish B

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Jun 24, 2018

great

By jiahaozhou

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Jun 11, 2018

grate

By sachin

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Jun 9, 2018

super

By blaster_fire

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May 23, 2018

Good！

By Du L

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Feb 23, 2018

Best!

By Won J

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Feb 19, 2018

Great

By benedikt h

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Feb 18, 2018

Great

By lalaqingla

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Feb 8, 2018

good!

By 冉祥映

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Feb 5, 2018

nice.

By Minsub W

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Feb 1, 2018

good!

By qingjunwu

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Dec 19, 2017

Good!

By Siddarth V

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Dec 11, 2017

Great

By iron

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Dec 6, 2017

great

By 董雪振

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Dec 3, 2017

Good!

By Hiep N V

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Nov 17, 2017

G

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t

By 崔宁

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Nov 13, 2017

GREAT

By Jian X

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Oct 30, 2017

挺不错的。

By Yates Y

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Oct 24, 2017

Nice！

By wangdawei

•

Oct 15, 2017

good.

By 段立溟

•

Oct 14, 2017

表白吴伯伯

By Dave P

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Oct 10, 2017

Hello

By Shiyuan Z

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Oct 2, 2017

good!

By 刘其波

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Oct 2, 2017

good!

By Rafael L

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Sep 26, 2017

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