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

4.9
stars
63,068 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

XG

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Thank you Andrew!! I know start to use Tensorflow, however, this tool is not well for a research goal. Maybe, pytorch could be considered in the future!! And let us know how to use pytorch in Windows.

YL

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very useful course, especially the last tensorflow assignment. the only reason i gave 4 stars is due to the lack of practice on batchnorm, which i believe is one of the most usefule techniques lately.

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3526 - 3550 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By 任宇凡

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Feb 28, 2018

excellent! Informative while easy to understand.

By Giulio T

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Dec 2, 2017

Great insights into the tuning of a Neaural Net!

By Rihab B A

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Nov 25, 2017

Great level of details again Andrew. Keep it up!

By Muhammed B

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Nov 11, 2017

This course is great for hyperparameter tuning .

By Jingbo L

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Oct 22, 2017

Very clear, and gives good points on the basics.

By Robin

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Sep 28, 2017

Nice course for good foundation in deep learning

By Truman P

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Sep 10, 2017

A detailed look into some really practical bits!

By Yongtao M

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Aug 25, 2017

It become more interesting than the first course

By Vishwayishwaran L

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Jul 27, 2024

nice explanations, good course explain strategy

By Ernesto R M

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Oct 8, 2023

Excelente curso, buena relacion teoria practica

By Ankit

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Apr 19, 2022

Excellent explanation of optimization concepts!

By Daniil M

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Mar 23, 2022

Great course.

Very clear and useful information.

By Janendra H D A

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Jan 4, 2021

Fantastic. Really helpful for beginners like me

By Prakhar C

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Dec 17, 2020

Great course on improving deep neural networks!

By peilang

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Sep 7, 2020

have mastered how to optimize a neural network.

By John W

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Aug 23, 2020

very helpful course for me to start learning NN

By Pinninti A

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Aug 16, 2020

Excellent flow of teaching and good assignments

By Mullangi R

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Jun 6, 2020

exceptionally good , way of teaching is awesome

By Sooraj S

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May 25, 2020

This is my first study on hyperparameter tuning

By Jayesh S

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May 18, 2020

great intuition about different hyperparameters

By suyash s

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May 11, 2020

Exceptional Teaching by Andrew Ng. Thanks Alot.

By Kingsley N K K

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Mar 21, 2020

Good guideline and full of useful information.!

By Ignacio R L

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Feb 22, 2020

Great course to learn about models optimization

By Harshal D

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Dec 24, 2019

very helpful for learning improving performance

By GÖNÜL S

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Nov 24, 2019

It is really impressive and instructive course!