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

4.9
stars
63,515 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

DH

Apr 27, 2020

Everything, Everyparameter in neural networks looks familiar to me now. I feel like I can optimize them for better accuracy. Overall I learned some new things and the way of teaching was really nice.

SC

Feb 15, 2018

A valuable course in enhancing one's ability to properly identify the correct Hyperparameter to tune according to the situation - a critical task in day-to-day debugging & tuning of an algorithm.

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3626 - 3650 of 7,288 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Volk U

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May 7, 2020

Great instructor and easy to follow lectures.

By Prashant J

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Apr 6, 2020

A great course full of tips to tune DL Model.

By Mert Ç

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Mar 23, 2020

Perfect. Golden quality. Thanks to Andrew Ng.

By Abhishek S

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Feb 18, 2020

very helpful must join and do all questions !

By Madhu M

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Jan 1, 2020

A course to gain knowledge on hyperparamters.

By bala K K

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Nov 22, 2019

Great Lesson, learned a lot. Thanks, Coursera

By fbrand

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Oct 22, 2019

Just miss the notes at the end of the videos.

By Tej B

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Oct 13, 2019

Learned a lot of about hyperparameter tuning.

By Kornel S

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Sep 30, 2019

Great course, interesting and advanced stuff!

By Sami A

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Sep 24, 2019

Great course .... introduced us to Tensorflow

By Sedat K

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Aug 27, 2019

Great course for understanding Deep Learning!

By Rudra P

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Aug 17, 2019

Thank you. It helped me a lot to learn a lot.

By Barka T

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Jul 12, 2019

Really great and smooth transition tensorflow

By Simon T

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Jul 3, 2019

Great as always when learning from Andrew NG!

By Yuanzhan W

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Jun 13, 2019

A good walk-through of hyper-parameter tuning

By Shivam S

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Jun 10, 2019

Very Detailed Course. Lots of stuff to learn.

By Khaled J

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May 21, 2019

Excellent course with practical applications!

By Вадик Л

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May 6, 2019

Mmmmm, very interesting and powerfull course!

By Samkit J

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Apr 29, 2019

Great course. Excellent for concept building.

By Sangeet K

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Apr 20, 2019

It's really a great course by a great mentor.

By Miguel A

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Apr 3, 2019

Nice hints on how to improve DNN performance!

By barryhf

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Apr 1, 2019

It is a privilege to learn from Professor Ng.

By Rajat C

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Feb 19, 2019

Brilliant way of covering a complicated topic

By Robert M

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Jan 30, 2019

Really enjoyed the last section on TensorFlow

By rajesh t

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Jan 22, 2019

Very interactive and very clear explanations.