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

4.9
stars
63,175 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

XG

Oct 30, 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.

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5901 - 5925 of 7,253 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By iron

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Dec 7, 2017

great

By 董雪振

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Dec 3, 2017

Good!

By Hiep N V

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Nov 18, 2017

G

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a

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

•

Oct 24, 2017

Nice！

By wangdawei

•

Oct 15, 2017

good.

By 段立溟

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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

I

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s

a

By Hong W

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Sep 24, 2017

Sweet

By Edisson R

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Aug 24, 2017

12/10

By Mohanraj S 2

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Jun 30, 2024

good

By 1544_OMM J

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Sep 18, 2023

good

By Kiệt H V T

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Apr 7, 2022

Nice

By 1172陳耑任

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Mar 10, 2022

good

By Khôi N N N

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Jan 11, 2022

Good

By 张浩然

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Sep 5, 2021

good

By Ulan T

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Aug 14, 2021

good

By 322_PRADIPTA C

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Aug 7, 2021

good

By 谭博予

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Jul 7, 2021

good

By 刘铭

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Jun 28, 2021

good

By Aniruddha B

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Apr 22, 2021

Nice