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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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2076 - 2100 of 7,254 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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.

By Heidi V B

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May 2, 2020

was very excited I understood finally TensorFlow's framework a little bit. Want to learn more.

By manan m

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Mar 17, 2020

It was an amazing course and a wonderful experience and i got to learn a lot from this course.

By Jordi A C

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Feb 18, 2020

Very nice and well-explained continuation to course 1. Very usefull tools to optimize results.

By Anurag C

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Dec 2, 2019

This course is very helpful for understanding the granular details of Deep Learning. Thank You

By Horia V

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Nov 11, 2019

excellent review of main techniques in training nns, really understood now some best practices