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

4.9
stars
63,219 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

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.

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

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7151 - 7175 of 7,257 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Edmund C

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Sep 30, 2024

Not as good as the other courses in the specialization track. It seems there was a good amount of repetition.

By Carlos V

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Jun 20, 2020

Would give more stars if the final assignment used Tensorflow@ and not an outdated version that is not in use.

By Pranshu D

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Mar 6, 2018

More tensorflow related tutorials should have been there. The lectures turned a little boring and redundant.

By Adrian C

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Nov 30, 2017

So far, I think this course is weak on theory, seems rushed and should provide more in depth lecture notes.

By Vincent D

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Oct 26, 2019

Encounter Error in the final assignment, cannot complete the model, but the grader gives 100/100 anyway.

By Chaitanya L

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Aug 16, 2022

Last programming assignment has an error due to which I cannot get more than 80% grade. Please Fix it!!

By Amit C

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Feb 1, 2019

I wish the course mentors were more active on this course makes it a bit difficult to clear doubts

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