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

4.9
stars
63,152 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

JS

Apr 4, 2021

Fantastic course and although it guides you through the course (and may feel less challenging to some) it provides all the building blocks for you to latter apply them to your own interesting project.

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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7151 - 7175 of 7,249 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Remo M

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Dec 21, 2021

Too much focus on implementation. I wish concepts were introduced / explained more thoroughly.

By Laura L

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Mar 22, 2018

It does not make you think of the problems, just fill in the gaps. First course was better.

By Mostafa N

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Jul 29, 2020

Programming assignments are too easy and the answer is already given before the question.

By harsh

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Jun 28, 2020

Tensorflow is not at all user friendly, I'm sure better alternatives would've been there.

By Aviv D

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Apr 25, 2020

I recommend adding a summary page at the end of each week to make sense the mathematics.

By Joel P

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Mar 31, 2022

Não mostra a data de incício e final do curso ou carga horária cumprida no certificado.

By Tanurima M

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Jul 4, 2020

The course is outstanding just the tensorflow library should be taught more in details.

By Pranjal S

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May 15, 2020

The technologies and the assignments should be updated to follow the latest standards

By Chaobin Y

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Nov 3, 2017

Maybe this course can merge with the 1st one. they both cover too little materials.

By ognjen m

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Nov 17, 2022

last week is rushed and not greatly explained. Especially in the work assigment

By P A A H

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Sep 12, 2020

WEEK-3 was a little bit messy, it would have been better if it was tensorflow 2

By joel a

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Apr 25, 2020

taught concepts well, but the programming assignments felt like it was spoonfed

By Xieming L

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May 12, 2018

Good: Contents on Tensor Flow

Bad: No real useful content compared the Course 1.

By Péter D

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Oct 6, 2017

great lectures, simplistic programming assignements, ridiculously easy tests

By SAMBATH S

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Aug 2, 2020

It would be better to use TF2 as there are lots of changes in the usages.

By Di W

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Jan 18, 2018

Harder to understand. Overall quality is not as good as the first class.

By Kenneth Z

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Mar 20, 2018

It is a bit abrupt to jump into tensorflow without explaining in depth.

By Rishab K

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Apr 17, 2020

good course to learn, but more assignments should be introduce n week3

By Rajat K S

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Jan 11, 2020

Most of the solutions to the assignment were written in instructions.

By Ganesan G

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Dec 28, 2017

I am not getting to see the programming exercises that i have done :(

By Adam S

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Oct 24, 2022

Some good stuff, but very slow, and the coding was pretty trivial.

By Jonghyun K

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Apr 25, 2020

voice was too small compared to noises made by clothes and others.

By Aastha S

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Jul 14, 2021

More explanations required for functions used in tensorflow lab

By FREDERIC T

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May 13, 2018

Good courses, the sound quality is very poor (high tone noise).

By Suhas M

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Jan 20, 2019

Interface for evaluating is not great and assignments are easy