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

4.9
stars
62,896 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

HD

Dec 5, 2019

I enjoyed it, it is really helpful, id like to have the oportunity to implement all these deeply in a real example.

the only thing i didn't have completely clear is the barch norm, it is so confuse

NA

Jan 13, 2020

After completion of this course I know which values to look at if my ML model is not performing up to the task. It is a detailed but not too complicated course to understand the parameters used by ML.

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901 - 925 of 7,219 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By William

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Mar 21, 2020

This is everything I am looking for. Step by step basic AI. I have already taken a couple other AI specializations but I wanted to step back and really understand the basics.

By Jae-Hong M

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Nov 2, 2018

Awesome course which gently introduces the Tensorflow module with good intuition which goes with it. A good stepping stone towards deep neural networks and their implementation

By Prateek D

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Aug 1, 2018

Andrew has taught this course to perfection, it gave me all basics to tune parameters and also th how regularization is used, how normalization helps etc.

Very awesome course...

By Tom Z

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Mar 6, 2018

This course is so good that I need to check multiple times that I get the content. Really practical when people want to try to use machine learning to solve real-world problem.

By Lorenzo P

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Jan 7, 2018

Great course, you are methodically guided through the main techniques and algorithms to make your model better. Plus, you get hands-on experience with the Tensorflow framework.

By Amit A

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Aug 30, 2017

I think Andrew has nailed engagement and clearly keeping the difficulty of the course in the "zone of proximal development" for the students.

Great course, and highly engaging.

By Md. S R

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Jul 20, 2020

Great, specifically I want to mention about the math behind the optimization algorithms. The concept is now crystal clear. Thank you so much Coursera and deeplearning.ai team.

By Vijayant Y

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Jun 22, 2020

Best place to study and increase our skills during this pandemic period. As a lot of field is using Deep Learning now, I loved this course. Thanks Coursera and DeepLearning.ai

By Ahsanul A S

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Jun 16, 2020

This course gave me very good intuitions about maintaining Hyperparameters in NN. Optimizations like ADAM were well explained. Also, it meets us with the Tensorflow framework.

By Hloniphani D

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Jul 25, 2019

The course added to my knowledge on hyperparameter tuning, especially which hyperparameter to spend more effort on when. A must do for all aspiring machine learning engineers.

By Forsaken

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Apr 13, 2018

Thanks the Coursera team provides this so outstanding curriculum! I benefit a lot and learned some brand-new and elegant optimization algorithm through the course. Thank you!

By Krishnendu D

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Feb 5, 2018

The assignments really helped me learn how to practically create models and train them better using all the techniques that can help train a model faster and more efficiently.

By Олег Д

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Oct 30, 2017

Andrew Ng does a great job explaining bias/variance in the era of Deep learning, Regularization, Optimization algorithms and other things that can speed up learning algorithm.

By Wonjin K

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Sep 26, 2017

This lecture provides experiments which helps me to understand how really deep learning work. I would recommend this course to every beginner who wants to learn deep learning.

By Jeffin S

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Sep 25, 2017

Andrew sIr teaches very well I would love to complete more courses offered by him.I would suggest him to open a course on NATURAL LANGUAGE PROCESSING and if he could take them

By Darsh K

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Jul 26, 2022

This course provides a great avenue to learn how hyperparameters work and should be tuned using various methods and practices. It also provides an introduction to TensorFlow.

By Hemshanker R

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Jan 1, 2022

Excellent Course. Detailed guidelines on how to set hyper parameters, Tuning and introduction to Tensor Flow. Perfect launch pad for next level in the worlf of Deep Learning

By Moaz M

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Nov 25, 2020

A very good course which introduced a lot of concepts in Hyperparameter tuning, Regularization and Optimization. Maybe need some programming examples for Batch Normalization.

By Koyeli M

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Aug 18, 2020

Course is awesome specially the programming assignments. I have one complain in the video subtitles should be shown in separate box as cant see end of slide due to subtitles.

By bhavik t

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Jun 19, 2020

The course was really helpful and the instructor made it as easy as possible to understand. The programming assignments and discussion forums made the concept crystal clear..

By Bruce L

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Jun 5, 2020

There could have been more videos/explanation on tensorflow functions (rather than I guess expecting us to search it online) but other than that, everything was really clear!

By Harindu A S

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May 3, 2020

Very useful to get knowledge on NNs and its behavior. Thank you very much Professor Andrew NG. Hope you will commit to the ML community as much as you can. Thank you so much!

By Jagrati S

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Mar 22, 2020

For a busy mom of 2, 42 year old, senior executive., this course is best optimize for the pockets of time I get. Concepts are explained very clearly, and course is well paced

By Antonio G

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Jan 28, 2019

It couldn't be better, thank you very much and greetings from Ensenada B.C. Mexico.

Very happy and hopeful that artificial intelligence can positively affect my country.

A hug.

By Lim K Z

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Jan 9, 2019

Really love your interviews with the prominent figures in the AI sphere - very inspiring and insightful. Particularly like the advice given by Yoshua Bengio. Keep it up!!!!