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
63,237 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

JS

Apr 4, 2021

Fantastic course and although it guides you through the course (and may feel less challenging to some) it provides all the building blocks for you to latter apply them to your own interesting project.

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

Filter by:

1751 - 1775 of 7,260 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Aamir I

•

Jul 15, 2019

I am delighted to have completed this course, now I know how Hyperparametrs actually work and how to tune them.

By William F

•

Feb 17, 2019

Good solid theory and practice advancing my understanding of deep learning and an effective intro to TensorFlow

By Yi X C

•

Oct 25, 2018

Amazing simple explanation by Andrew Ng and easy to follow practice. Very much needed for the busy practitioner

By Trần N M H

•

Sep 4, 2018

This is an amazing course! It introduced me a lot of knowledge and techniques to improve a Deep Neural Network.

By Dheeraj B

•

Nov 21, 2017

Great material very informative and brisk pace of learning keeps you engaged and learning new things all along.

By Abdelhak E

•

Apr 28, 2021

I had many questions on how to improve my deep neural network model, and in your course I found their answers.

By ayushi s

•

Jan 29, 2021

This course helped in learning various optimizing techniques with a good mix of lectures, assignment and quiz.

By George I

•

May 30, 2020

More Hyper-parameter optimization and your first step to TensorFlow. But my conclusion Matlab is really easier

By Muhammad A

•

May 12, 2020

Amazing course for developing deep understanding of deep learning. Great instructor and intuitive assignments.

By satyam b

•

May 7, 2020

I feel much more confident in my ML skills after taking this course.

The assignments are awesome and very good.

By Arun P R

•

Apr 23, 2020

Must known and very common terms in Deep Learning are well explained in this course. It's good in every aspect

By Razieh K

•

Apr 6, 2020

That was one of the best courses I've ever had during my entire scientific learning and working! Thanks a lot.

By Boris B

•

Mar 25, 2020

Informative overview about ML techniques which are helping on the way to improve modelling with deep learning.

By Alejandro J M R

•

Aug 30, 2019

Una manera de optimizar el aprendizaje de tu modelo. Qué buen curso, qué buen profesor. Recomendado totalmente

By Chris B

•

Jun 25, 2019

Good balance between theory and practice, focusing on the impact of hyperparameters across the whole solution.

By Justin T

•

Oct 14, 2018

Awesome! Learned a ton about tuning models, and especially loved the intro to TensorFlow in the final section!

By Abhishek N

•

Oct 14, 2018

Fantastic Course! The video lectures were crystal clear about the concepts and the assignments were top notch.

By Vikas K T

•

Aug 31, 2018

Every researcher in AI domain should learn practical aspects of deep learning implementation from this course.

By Dharam G

•

Jul 2, 2018

Just Perfect !Crisp and Clear explanationDirectly To-the-pointSystematic and best effective approach explained

By Muhammad U A

•

Jan 30, 2018

It is very good course. This course help me to tune my model with respect to accuracy as well as performance.

By Ewa L

•

Nov 12, 2017

Another fantastic course from Andrew. Incredibly useful for all those who took a deep dive into deep learning.

By Franklin V

•

Aug 22, 2023

Andrew Ng and his team are providing again another excellent AI course, this time focusing on hyperparameters

By Matthew M

•

Mar 5, 2021

Really good content. Given tensorflow i can see why Andrew has said you dont NEED to be a master of calculus!

By Zhang K

•

Jan 19, 2021

This course is easy to understand, I gain the knowledge of the "magic" of getting deep learning to work well.

By Hawren F

•

Jan 2, 2021

Andrew Ng explained the optimization algorithms very well, and provided some insights of batch normalization.