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:

3726 - 3750 of 7,254 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Erfan G

•

Jul 16, 2023

some topics need more explanation, I guess

By Aleksander S

•

Mar 19, 2021

Nice! May useful experience and knowledge!

By Nieb H N

•

Nov 30, 2020

Courses from Andrew NG are always special.

By P P

•

Aug 23, 2020

excellent course by andrew ng and coursera

By vijay b n

•

Aug 13, 2020

Best course and I thank instructors a lot.

By Peter K

•

Jul 27, 2020

Tolle, einfache, zielgerichtete Erklärung!

By ARUNABHA M

•

Jul 10, 2020

Great learning from a top rated instructor

By Daniel L

•

Jul 6, 2020

Very interesting, specially the last week!

By VINAY M

•

Jul 6, 2020

Learning using Notebook is is really Nice.

By Peter S

•

Jun 18, 2020

Great course, it really builds intuition.

By UnniKrishnen N

•

Jun 13, 2020

Amazing explanation and practical approach

By Niranjan S

•

Jun 9, 2020

The TensorFlow tutorial is really helpful.

By Max B

•

May 19, 2020

Another outstanding course by Andrew Ng!!!

By Arijit C

•

Apr 27, 2020

Great Learning, Learned a lot of basics...

By Elio M

•

Apr 25, 2020

Another great course by Andrew Ng. Thanks!

By Stefan S

•

Dec 24, 2019

Very professional course and well prepared

By Shamik M M

•

Dec 15, 2019

Assignments could be made a little tougher

By Shah N K

•

Jul 20, 2019

This Course as much practical as it can be

By Zhou D

•

May 31, 2019

very practical course! I am very grateful!

By Sachin P B

•

Mar 5, 2019

Found it so helpful! Truly among the best!

By Caroline C

•

Jan 20, 2019

Great sequel to course 1 for AI beginners.

By Ricardo A

•

Jan 4, 2019

Very practical tools to apply to training!

By yongping.li

•

Oct 27, 2018

a very very great and amazing class for me

By Liu W

•

Jul 29, 2018

very useful for improving deep NN accuracy

By 朱琪超

•

Mar 27, 2018

it is amzing. I have learned a lot.Thank U