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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

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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4626 - 4650 of 7,254 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Sunshine

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Sep 2, 2017

thanks for the course

By Chen Y

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Aug 13, 2017

Class_label = "Great"

By Sukhjot K

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Jul 6, 2023

Very well explained.

By Sifal K

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Dec 5, 2022

thank you very much!

By Giang L T

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Aug 19, 2021

this course is great

By Zoubair K

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Jul 19, 2021

Great explanations!!

By Ajay Y

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Jul 10, 2021

Great course series.

By Emil L

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Apr 8, 2021

Andrew is just great

By Ilich G

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Feb 8, 2021

Excelent Copurse!!!!

By George Z

•

Jan 15, 2021

Very helpful course.

By Narongrit R

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Jan 7, 2021

Really good course !

By MyoMin H

•

Nov 2, 2020

Great Course, Thanks

By Gabriele M

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Sep 4, 2020

Really enlightening!

By 张松波

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Jun 24, 2020

adam优化器居然这么容易就懂了，太棒了

By Aditya M

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Jun 13, 2020

A really good course

By KAPIL G

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May 17, 2020

Very detailed course

By Bảo L H

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Feb 28, 2020

Thank you so much!!!

By Aman K

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Jan 11, 2020

Very useful course!!

By Mihai F

•

Jan 5, 2020

Very well explained.

By varun s

•

Aug 21, 2019

Fantastic as always.

By 王嘉奕

•

Aug 5, 2019

非常好的课程，让我进一步了解了神经网络。

By Jacques B

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Jun 7, 2019

An excellente course

By Valentino C

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May 15, 2019

Incredibly practical

By Gopi K E

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Mar 15, 2019

Owe a lot to Dr. Ng!

By Li Z

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Feb 6, 2019

thank you very much!