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

4.9
stars
63,156 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

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

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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2776 - 2800 of 7,249 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Humberto N

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Dec 7, 2018

Great explanation on Hyperparameters, Regularization and Optimization.

By Vova F

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Aug 26, 2018

Excellent. May just as well be the benchmark for all Coursera courses.

By Balázs B

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Jun 2, 2018

Excellent course, providing a great start in practicing deep learning.

By Sanjeev U P

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Apr 22, 2018

Well organized and clearly explained. I finally understand tensorflow.

By Florence C

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Apr 19, 2018

Several important techniques about tuning hyper-parameters were learnt

By Bill R

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Apr 16, 2018

Andrew Ng does a GREAT job of breaking things down and making it easy.

By Amir T K

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Feb 18, 2018

Very very useful and efficient course for starting actual DL projects.

By John C

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Jan 9, 2018

Fantastic coverage of hyperparameter tuning in a deep learning context

By Konstantin Z

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Jan 7, 2018

Practical with lots of helpful tips. Very nice intuitive explanations.

By Samuel Y

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Dec 2, 2017

It would be better to introduce other frameworks as optional material.

By Taehee J

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Nov 29, 2017

This course gets in depth for deep learning based on the first course.

By Aman G

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Nov 26, 2017

Awesome course... Please continue making courses.. Thank you so much..

By Edir G L

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Nov 2, 2017

Very interesting stuff indeed. Mostly Regularization and Optimization.

By Y D

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Oct 25, 2017

Clear thought, detailed instructions and practical homeworks as usual.

By Aditya K

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Oct 4, 2017

Brilliant course. Helps get you running in this really exciting field.

By Niel R

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Sep 29, 2017

Great overview on how to improve the neural networks learning process.

By Venkateswara R B

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Sep 25, 2017

Its a great experience to make an entry with deep learning frameworks.

By Utku M T

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Jun 26, 2021

Very useful course to understand core hyperparameter tuning concepts.

By Muhammad H u H

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Jun 9, 2021

Extremely necessary course for deep learning students and researchers

By Nana K O

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Oct 19, 2020

This was a captivating learning experience. So much knowledge gained.

By Santiago R P

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Sep 5, 2020

Excellent course. I will look forward for an update on tensorflow 2.0

By Alperen S A

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Jul 31, 2020

Probably the most useful course i've ever had. Thanks a lot Andrew NG

By Parth M

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Jul 30, 2020

Perfect if you want to know what's happening behind the frameworks:-)

By Madhav P

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Jul 25, 2020

Gained some pretty strong basics in Optimization algos, tuning etc...

By 柳子豪

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Jun 10, 2020

A nice combination of theory and hands-on practice for improving DNN.