Learner Reviews & Feedback for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization by DeepLearning.AI
About the Course
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 ne...
Top reviews
AM
Oct 9, 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
AS
Apr 19, 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
5876 - 5900 of 7,273 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
By OMKAR S
•Jun 1, 2020
Good.
By Sanskar j
•May 30, 2020
Nice!
By Shiyang F
•Apr 1, 2020
Great
By Yetao W
•Mar 11, 2020
great
By zhanghx
•Mar 7, 2020
Good!
By yuebin l
•Mar 4, 2020
bravo
By Alexander A
•Feb 20, 2020
Класс
By Saoudi H
•Dec 29, 2019
great
By 芃維 陳
•Oct 20, 2019
Nice!
By Mohamed B
•Oct 1, 2019
great
By hitskyer
•Sep 23, 2019
学到了很多
By GuyChriqui
•Jun 12, 2019
great
By Chenqingming
•Jun 7, 2019
great
By Wei L
•Mar 31, 2019
Great
By Jan N
•Mar 20, 2019
Great
By Xu Y
•Mar 11, 2019
great
By Gzq
•Mar 11, 2019
great
By Hernan R
•Mar 6, 2019
Good!
By Yuhao L
•Jan 12, 2019
good!
By hexinlin
•Nov 29, 2018
great
By 钟胜杰
•Nov 18, 2018
good!
By beihai Q
•Nov 12, 2018
Good!
By Vinita M
•Oct 26, 2018
Great
By Simon H
•Oct 7, 2018
Great
By shenzhonghua
•Sep 3, 2018
Great