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

4.9
stars
63,291 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 ne...
...

Top reviews

DD

Mar 28, 2020

I have done two courses under Andrew ng and I am grateful to Coursera for their highly optimised and easily learning course structure. It has greatly help me gain confidence in this field. Thank you.

AS

Apr 18, 2020

Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course

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2076 - 2100 of 7,270 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Karthikeyan T P

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Dec 2, 2019

Excellent course on hyperparameter tuning, regularization and optimization. Highly recommended.

By Sergii G

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Nov 19, 2019

Fast and clear course. Has a lot of small exercises that are very handy for your own algorithms

By Abdelrahman A

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Jul 20, 2019

Thanks a lot Professor Andrew you're such a great man. The course/specialization is terrific <3

By Akshaya P K

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Apr 22, 2019

Fantastic course. Sply the codes and the way they have been thoughtfully structured. Brilliant!

By Pradeep I

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Mar 4, 2019

What learned during the course was building the self confidence in the subject area really lot.

By Muhammad A

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Jan 13, 2019

Well balanced syllabus. covering the intuitive part as well as the procedure of implementation.

By dsp

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Dec 30, 2018

Nice overview of different steps for improvement. Very accessible introduction into TensorFlow.

By Muhammad H A

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Nov 18, 2018

The best course for the understanding of basic to advanced learning of neural network training.

By Soheil Z

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Nov 8, 2018

It is the best course for Deep learning on the internet., which is taught by best teacher ever.

By Sreekanth J

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Oct 25, 2018

Excellent Material & approach. Gained a lot of insight on how to make the model perform better.

By khaled a

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Sep 21, 2018

thanks for this course again it was informative and thanks coursera again for the financial aid

By Deboshmita G

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Sep 7, 2018

Provides thorough and optimal understanding of different knobs and switches that guide Deep NN.

By Thomas W

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Apr 14, 2018

Nice course, learnt a lot with no impediments. Quality of tuition and assessments is excellent.

By Jussi V

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Feb 18, 2018

Very good content, this course #2 essentially complements the basic sep NN content of course 2.

By Nitesh U

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Jan 31, 2018

Amazing course. Especially for beginners. Assignments particularly are great help for learning.

By A.Bashar E

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Oct 16, 2017

Great work easy to understood and to work with. Thanks for Prof Andrew Ng and Coursera as well.

By Qin W

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Sep 10, 2017

l love this course coz it give us some useful tips and tools we can use to improve our project.

By Diego S

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Sep 7, 2017

Amazing Experience! Andrew Ng and yout team are awesome! Please! Keep going with this courses!!

By Ambrish K

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Jan 21, 2022

Nice explanation by Andrew sir. Programming assignments are helpful for clearing the concepts.

By James R

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Oct 1, 2021

Very good overview and helpful programming exercises to put into practice theoretical concepts

By Patrick M

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Jun 17, 2021

This course is yet another outstanding addition to the overall specialization. Outstanding!!

By Niels P

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Jun 16, 2021

The jump from vector/matrix to tensor could be explained a little more. Otherwise good course.

By Jose B

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Jan 11, 2021

Excellent course giving you good background on how to improve training of deep neural networks

By Chen M

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Dec 1, 2020

A basic course for this field, just an excellent course and covers a lot of topics, thank you!

By Ankan D

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May 10, 2020

The Video sound is quite low. But the content and assignments are very nice and well prepared.