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

4.9
stars
63,068 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

XG

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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.

YL

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very useful course, especially the last tensorflow assignment. the only reason i gave 4 stars is due to the lack of practice on batchnorm, which i believe is one of the most usefule techniques lately.

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4601 - 4625 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Tran T D

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Aug 8, 2018

another great course!

By Laurenz R

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Jun 3, 2018

Very good explanation

By KIBO

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Mar 25, 2018

very good ! Thank you

By Saurabh P

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Feb 17, 2018

Very valuable course.

By Aleksei T

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Jan 6, 2018

That was cool as well

By Ziemek T

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Dec 30, 2017

great course, thanks!

By Chenhao W

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Dec 4, 2017

Thank you Andrew Ng !

By Cheng H

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Nov 19, 2017

Grading is a bit slow

By Bruce J

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Oct 7, 2017

Absolutely wonderful!

By Deleted A

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Sep 29, 2017

NIce course I like it

By Walter L

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Sep 21, 2017

Really useful course!

By Jiarui F

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Sep 20, 2017

it is really helpful!

By Zack A

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Sep 12, 2017

nice tensorflow intro

By Bernard R

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Sep 9, 2017

Very valuable course!

By Enoch C Y S

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Sep 8, 2017

Very GOOD!!!!!!!!!!!!

By YongyiWang

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Sep 6, 2017

This course is great!

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!!!!