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Back to Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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

4.9
stars
63,156 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

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.

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

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2176 - 2200 of 7,249 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Sunil P

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Aug 20, 2017

Really awesome, get to know basic understanding of parameters, regularisation and many more

By vaasala b

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Feb 25, 2024

this course was awesome. well structured and contained great assignments for good practice

By Azizjon K

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Aug 23, 2023

As expected it was a great course with a lot of valuable insights and easy to follow tasks

By Salar K M

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Jun 5, 2023

Very thorough and detailed explanation which can help you to make your Algorithm better !!

By Jens E

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Apr 14, 2022

Great way to formalize knowledge and to understand why you do things a certain way in DL.

By Rajaram G

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Feb 12, 2022

The notebooks are so well implemented and reinforce the concepts explained in the videos.

By H.S

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Oct 16, 2021

Excellent. Though the programming assignment were way too easy with a lot of hand holding.

By metin s

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Aug 5, 2021

Great platform. I loved these Courses. I look forward to other courses. I hope it's great.

By Wayne H

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May 6, 2021

Informative, challenging but surmountable, and with great practical examples along the way

By pratik J

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Oct 6, 2020

Good course especially the way Andrew Explain Basics and makes complex concepts so simple.

By Anish A

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Jun 7, 2020

One of the best courses on improving performance and structurally choosing hyperparameters

By Luiggi S A G

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Jun 7, 2020

It was amazing Learn how Neural Network works and how to use a framework to program easily

By Ritwik S

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May 27, 2020

It would have been more nice to get detailed implementation for hyperperameter tuning etc.

By Aditya B S

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May 20, 2020

Best course ever for anyone who is seeking knowledge of Neural Networks and deep learning.

By Oqais T

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May 15, 2020

Well balanced course structure assisted with good programming assignments. I just love it.

By Medari T

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May 12, 2020

For an online course, its very insightful on how we can speed up Deep Learning algorithms.

By Tolga K

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Mar 29, 2020

Great course. You learn a lot on optimization and normalization techniques and tensorflow.

By Adrian R M

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Mar 28, 2020

Appreciate so much more the core essentials of applying common optimizations to NN models.

By liuchenyu

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Feb 7, 2020

Interesting,fascinating! But I hope more space to get in application and the art of coding

By ngoy m

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Jan 25, 2020

Learning quickly from very well thought out and put together lectures by Prof. Ng and team

By Sathvik B

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Jan 2, 2020

very practical course.... although hyperparameter tuning could be explained in more detail

By Tim W

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Dec 16, 2019

Thank Professor Ng for teaching us with such as a well-organized and very unique contents.

By Namburi S

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Nov 11, 2019

An excellent course with practical applications on how to do better hyper-parameter tuning

By Dmitry S

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Oct 18, 2019

Invaluable to understand the practical specifics of hyperparameter tuning and optimization

By Joe M

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Sep 29, 2019

Very nice course. Gives a real world perspective into optimization of deep learning models