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

4.9
stars
62,820 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

AB

Aug 26, 2021

Amazing course which focus on the theoretical part of parameters tuning, but it needs more explanation of Tensorflow, as I felt a little lost in the last project. Except that, it is an amazing course.

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4326 - 4350 of 7,216 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Tiequan L

Jul 18, 2018

Great. Effeicient teaching.

By Clark C

May 18, 2018

It's a great course on DNN.

By Mirzodaler M

Apr 16, 2018

Very useful course. Thanks!

By Shiwei T

Apr 15, 2018

非常棒的课程,推荐所有准备入门深度学习的同学来进行学习

By BD2020

Mar 3, 2018

Thank you, Prof. Andrew Ng!

By Jimmy

Jan 21, 2018

Andrew Ng is still a legend

By Deepak K S

Dec 24, 2017

Great Course. I enjoyed it!

By Tian Z

Dec 8, 2017

Very inspiring and helpful!

By Pranay C

Dec 3, 2017

Very intuitive explanations

By 童宇青

Nov 21, 2017

This course is very great!.

By Chiayu L

Nov 11, 2017

great lecture. Many thanks!

By Alex Y

Oct 7, 2017

Andrew is great, as always!

By Daniel G

Sep 28, 2017

Excellent learning resource

By Prasenjit P

Sep 28, 2017

Superb!! thanks Andrew Ng!!

By Jun W

Sep 20, 2017

Still the best of the best!

By Nir D

Sep 19, 2017

Very clear and interesting!

By Cong Z

Sep 13, 2017

Excellent pace and material

By fengchang

Sep 13, 2017

very good course, thank you

By Dhileeban K

Aug 28, 2017

Gives excellent intuitions.

By Siddhartha B

Aug 27, 2017

Awesome course as expected.

By Fernando N

Jun 6, 2023

Andrew is a great teacher!

By Hakwoo K

Oct 13, 2021

GREAT CONCEPTUAL LEARNING!

By Khan R A

Jun 30, 2021

Very well explained course

By Atanu C

Feb 22, 2021

The best course I ever had

By Leonardo S N

Dec 26, 2020

Super, extremelly good !!!