Chevron Left
Back to Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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.

Filter by:

3676 - 3700 of 7,254 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Ryan G

•

Jan 24, 2019

this course was amazing. I really enjoyed it

By An-Dân N

•

Aug 26, 2018

Nice course, nice instructor, nice materials

By mobwiz

•

Jun 23, 2018

Very good, I learned a lot from this course.

By 康一帅

•

May 10, 2018

本课程让我了解了正则化，BN，Softmax背后的原理以及接触了TensorFlow框架

By Michael K

•

Apr 30, 2018

Well explained and documented - recommended!

By Alex T S

•

Feb 28, 2018

Comprehensive, clear, and engaging as usual.

By Uzair A

•

Feb 16, 2018

Very helpful and good learning experience...

By kingsleyhsu

•

Oct 27, 2017

very good,easy understand and help me a lot.

By Ryan S

•

Oct 11, 2017

Andrew is the best. Assignments are too easy

By José C B

•

Sep 8, 2017

Great material and didactic classes. Thanks!

By Fabio G

•

Oct 30, 2024

Great explanation on algorithm optimization

By Ziqi L

•

Mar 25, 2024

Super great! Very systemetic and innovative

By 300_MEGHA S

•

Jan 18, 2022

perfect course for deep learning enthusiast

By JONATAN D P H

•

Jul 5, 2021

Genial!. Muchas gracias, aprendí muchísimo.

By Suraj P

•

Feb 9, 2021

Most important and unique course of series.

By Kostadin G

•

Jan 5, 2021

Fantastic way to learn/improve your skills.

By EL H E S

•

Jun 16, 2020

thank you very much for this amazing course

By Rima

•

Jun 12, 2020

Many important issues are discussed. Thanks

By Troy N

•

Jun 4, 2020

This is the special sauce to deep learning.

By Sadek N

•

May 24, 2020

Very helpful course.

Thank you Mr. Andrew Ng

By Avinash S

•

Apr 28, 2020

Its a must attend course, in deep learning

By Georgiy K

•

Apr 26, 2020

Надзвичайно приємний курс. Усім рекомендую!

By Jesus G

•

Apr 16, 2020

A very useful collection of tips and hints.

By Suresh K M

•

Mar 3, 2020

Thank you for sharing such a deep knowledge

By Abdul M

•

Jan 31, 2020

math part was quite difficult to understand