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
DD
Mar 28, 2020
I have done two courses under Andrew ng and I am grateful to Coursera for their highly optimised and easily learning course structure. It has greatly help me gain confidence in this field. Thank you.
6876 - 6900 of 7,270 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
By Seth T
•Mar 26, 2018
Short course but was really excited to delve into TF.
By 王婷
•Feb 16, 2018
good PA examples, that could benefit my further study
By Arhan G
•Jan 30, 2018
Andrew is a great lecturer. The videos are excellent.
By Alaa B
•Jun 13, 2023
very useful for both academic and business purposes
By Nicolas M
•Jun 20, 2021
a little more practice on TF would have been nice...
By Hak K C
•Apr 5, 2018
Course was concise and assignments were well guided.
By Stuart R
•Mar 11, 2018
Good course. Minor errors/typos in presented videos.
By Venkatraman N
•Mar 10, 2018
Quite not challenging in the programming assignments
By Uday Y
•Apr 29, 2020
Tensorflow assignment should be modified to use 2.x
By Dmitry K
•Apr 14, 2020
TensorFlow should be updated to the latest version.
By Fangshi L
•May 18, 2019
Good course, although some bugs in homework grading
By Sumeet R
•Feb 10, 2019
very good course - gets to practical aspects of ML!
By Juan O
•Dec 2, 2017
Having slides like in other courses will be helpful
By SPS P
•Jun 27, 2020
Tensorflow could have been taught in a better way.
By Sen C
•Dec 24, 2019
There should have been more exercise on tensorflow
By Gopal M
•Sep 14, 2019
TensorFlow is a bit nebulous.I need more practice.
By Jean-Marc S
•Dec 27, 2018
The syntax and logic of tensorflow is a bit blurry
By Daniel F P R
•Dec 17, 2018
Was great! Would have loved to see more tensorflow
By Kim y h
•Dec 10, 2018
좋은 강좌입니다. 단 한글 번역 부분에 오류가 많습니다. 이후에는 수정되었으면 좋겠습니다.
By Shaun M
•Jul 8, 2018
Good follow-on from course 1 of the specialization
By Mohammad M R
•Jan 3, 2018
Sorry for the last review - the quiz can be saved.
By Gopala V
•Oct 24, 2017
Definitely improved my understanding on the tuning
By erhan b
•Oct 20, 2017
Assignments are mostly copy past from instructions
By Agnes
•Oct 13, 2017
it is very useful for the processing of modelling.
By ZHE C
•Aug 17, 2017
include key idea on the tuning of hyperparameters