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
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
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
6751 - 6775 of 7,270 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
By Shivaraj N
•Aug 28, 2020
Pls update to Tensorflow 2.0. Its a bit discouraging to learn and unlearn.
By Saurabh D
•Sep 12, 2019
Insights about how machine learning works in real life is quite ingeniuos.
By 신문석
•May 27, 2018
very good lecure.
somewhat difficult to me. I will repeat again and again.
By John F
•Jan 26, 2018
Very informative but got some issues with the last programming assignment.
By Arjan H
•Dec 8, 2017
More rigorous independent projects/assignments are needed for this course.
By Carol Z
•Aug 18, 2017
Deepened my understanding of how to make deep neural networks work better!
By Kleber T
•May 21, 2021
very extensive content. I missed more text content to support the theory.
By Kristian K
•Nov 20, 2020
Should update the last lab to use the latest version of tensorflow (TFII)
By Digaamber D
•Jul 18, 2020
Would have been more helpful if TensorFlow was covered in greater detail.
By Xiaoliang L
•Mar 24, 2019
Practices are more like "type after me" than a real learning opportunity.
By Jorge P
•Oct 27, 2017
Excelent course with very interesting insigth on tuning a multilayer ANN.
By Shivanshu K S
•Apr 5, 2022
Great course. The tensor flow introduction part could have been better.
By Delowar S
•Jun 2, 2020
this course will help me to improve my academic skill beside help future
By Shahin A
•Apr 18, 2020
i rate this course 4, its really good one and learned alot in the course
By ATIK M
•Apr 25, 2019
Good can be improved by providing more code based video like Tensorflow.
By Benjamin M
•Jul 24, 2020
More explanation for some of the tensorflow code could have been given.
By Olena I
•Apr 23, 2020
I think TensorFlow is outdated, PyTorch is the way to go in the future.
By Jaap d V
•Jan 7, 2020
Some tricky parts in the programming assignments. otherwise great class
By alfredo g
•May 29, 2019
too math, i hope futher parts contain more implementation than calculus
By Imran P
•Oct 4, 2017
I'd like a little more focus on tensorflow, perhaps starting at week 1.
By Babu L P M
•Oct 19, 2023
If can be better if more details on introduction to tensorflow added
By Prateek L
•Mar 27, 2020
There should be more examples first of all then moving to mathematics.
By Mohammad A
•Feb 25, 2020
Great Explation of hyperparameter tuning and best intro to Tensorflow.
By Pascal A S
•Jul 22, 2019
A bit too technical for my taste. But useful examples to work through.
By Rindra R
•Oct 10, 2017
Good curriculum and to the point. TensorFlow introduced a little late.