Learner Reviews & Feedback for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization by DeepLearning.AI
About the Course
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
XG
Oct 30, 2017
Thank you Andrew!! I know start to use Tensorflow, however, this tool is not well for a research goal. Maybe, pytorch could be considered in the future!! And let us know how to use pytorch in Windows.
6576 - 6600 of 7,253 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
By Snehitha D
•Jun 20, 2024
the concepts are a little complex and tricky and i hope there's a project by the end of the specialization
By Mozhdeh S
•Mar 21, 2022
I needed more foundation for understanding tensorflow programming. However, I learnt a lot in this course.
By Parjanya P P
•Jun 23, 2020
The answer in the last assignment was wrong, wasting a lot of my time. But otherwise the course was great.
By Aaron E
•May 4, 2019
its a good intro, if not a little simplistic with the coding exercises, bring back the quizzes mid lecture
By Alex S
•Dec 11, 2018
A small validation output error that is still not fixed prevent to rate all stars for the exellent course.
By 苑思域
•Aug 3, 2018
This one is actually a little bit better than the first one, maybe less content, maybe more understandable
By Leitner C S E S
•Aug 29, 2017
Excellent course. But -1 for using TensorFlow, a not-really-free framework, to introduce students to them.
By Jayshree R
•Jul 4, 2019
An intuitive approach towards Hyper parameters. Covers the concept of optimization algorithms quiet well.
By Makragić A
•Jan 9, 2019
Great lectures, I'm little disappointed with TensorFlow tutorial, there should be 1 week for that only...
By Richard H
•Sep 28, 2017
Fills in the tricky gaps in using DNN that are necessary to transition from basics to practical projects.
By Harry L
•Mar 21, 2020
Too much code is given, which makes the programming assignments too easy. The material is great, though.
By Shijian G
•Nov 29, 2019
These series are generally clear and well-organized. It would be better to provide tensorflow materials.
By Kevin T
•Mar 29, 2023
The assignments could have been explained a little bit better. The course was overall very interesting.
By Joseph A
•Dec 6, 2020
The course was very great, although I feel I needed a better explanation about tensorflow functionality
By Tien N V
•Jun 24, 2020
This course so very good for person who wants to understand the optimization topic in machine learning.
By Tanmay
•Jun 2, 2020
Nice content; creators must try to focus on enhancing the confidence of learners to code by themselves.
By Ranjan D
•Jul 17, 2019
Great explanation on tuning different hyper parameters and how they can effect the model's performance.
By Keanu T
•Jun 25, 2019
I wish it went a little more in-depth with softmax classifiers but I can find that online so it's good.
By Byron M
•Apr 9, 2018
The final assignment didn't have the right instructions, a lot of misleading comments and instructions.
By Matías L M
•Oct 29, 2017
The professor is really good at explaining. The projects got more interesting than in the first course.
By Per K
•Oct 2, 2017
Get you to a more practical understanding of deep learning. The introduction to TensorFlow is valuable.
By Alexander
•Mar 9, 2020
I would like to learn the V2 of TensorFlow. Except that. exceptional course. I love Andrew's teaching!
By LEO L
•Jul 30, 2019
All is good except the submission part, sometime return submission failure without specifying a reason
By Deleted A
•Jun 22, 2019
Great Course ! I learned a lot, but I would have preferred another Framework though (like Pytorch) ...