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

4.9
stars
63,498 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

NT

Aug 19, 2019

I think this course is great. Because we learn about some definitions about hyperparameters, optimization which are frequently appears in papers or in the functions in some Deep Learning frameworks.

CM

Dec 23, 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 Thanks.

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6026 - 6050 of 7,284 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Matteo I

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Aug 25, 2018

wow

By 莫毅啸

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Jun 23, 2018

ths

By 黄家鸿

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Jun 12, 2018

非常好

By 杨恺

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Feb 4, 2018

不错的

By 乾浩 姚

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Jan 14, 2018

非常好

By jinntaoo

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Sep 5, 2017

OK.

By Aditya J

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Nov 20, 2024

ok

By ARTURO R G

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May 25, 2020

:)

By 罗丽莹

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Apr 10, 2020

很棒

By 王攀成

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Mar 17, 2020

很棒

By Juncheol Y

•

Feb 14, 2020

^^

By Ming G

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Aug 25, 2019

gj

By liangsheng

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Jul 22, 2019

很好

By Hiroaki K

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Apr 24, 2019

最高

By I l N

•

Apr 9, 2019

超棒

By Cruel

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Mar 16, 2019

ok

By 侯宇翔

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Dec 11, 2018

牛！

By Pham X V

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Nov 6, 2018

:

)

By Bilal M

•

Dec 11, 2017

:)

By MohammadSadegh Z

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Jun 15, 2021

By 홍승은

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May 7, 2021

-

By eduardo e

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Jul 5, 2020

d

By Vinish R

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May 27, 2020

g

By Yuanfang S

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Jun 8, 2019

-

By Sarah Z

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Nov 7, 2018

V