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

4.9
stars
63,068 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

XG

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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.

YL

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very useful course, especially the last tensorflow assignment. the only reason i gave 4 stars is due to the lack of practice on batchnorm, which i believe is one of the most usefule techniques lately.

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1626 - 1650 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Guissous A E

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Dec 1, 2019

It was a great learning period with a high quality content, I learned a lot. thank you andrew and thank you coursera.

By Sahan P

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Nov 24, 2019

Great Content. And Great Programming Assignments to Practice All the Things Taught in the Slides.

Thank you Andrew NG.

By Rúben G

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Oct 12, 2019

This course helped me to understand better the concept of Overfitting and the behavior of Neural Networks in general.

By Alexander L

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May 15, 2019

I think this course is very useful for the beginners understanding the basic and important concepts of deep learning.

By Daniel G

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Nov 28, 2018

Genau so gut wie der 1 Kurs dieser Reihe. Ich bin sehr überzeugt von dieser Möglichkeit sich neuen Wissen anzueignen.

By Enzo D

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Mar 12, 2018

Nice trick for improving DL performance, even if really hoped that there's a really way to find the best parameters..

By aditya r

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Mar 12, 2018

Very good course with proper explanation of Hyper parameter tuning, Regularization and Optimization

of deep learning

By SHREYAS M

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Dec 27, 2017

Excellent material presented very eloquently. However, it would have been nice if more focus was laid on TensorFlow .

By Daniel C

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Nov 19, 2017

Loved it... Wish they'd include the up front data gathering as part of the lessons though instead of pre-made inputs.

By Nilesh I

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Nov 10, 2017

Amazing course. The course teaches how to optimize the hyperparameters etc. and also teaches TensorFlow on a project.

By Abhik B

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Sep 24, 2017

good course , best part is to go deeper into the RMSprop, Adam and momentum based Optimizations along with SGD and GD

By h_st

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Aug 1, 2021

I liked the profound and deep explanation of the underlying maths and the procedure of neuronal networks very much.

By Carlos D N L

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Aug 18, 2020

This course helped me to understand more about the optimization algorithms used in Deep Learning. Widely recommended

By KirAN J

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Jul 27, 2020

This course is extremely informative on building a better neural network and it gives basic knowledge on tensorflow.

By RUPANJAN N

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Jun 20, 2020

Excellent explanation and guidance.

Please incorporate the corrections in the video directly and reupload if possible

By bardock s

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Jun 10, 2020

A very good course on hyper parameter tuning, some notations can be updated as they are confusing in the derivations

By Pramod M N

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Jun 5, 2020

A really intuitive course that gives insight into how to optimize deep learning models in the simplest way possible.

By Usama k

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May 3, 2020

Awesome Learning Platform with Awesome Trainers and especially the practical work they enable us to do is awesome...

By Simon B C

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Apr 30, 2020

As always greate teacher and course! Together with the Machine learning course the best course I've followed so far!

By Karthi K

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Dec 17, 2019

Again one more excellent course from Andrew Ng! Great path for mastering Deep Learning! Learnt a lot from Andrew Ng!

By Rishabh M

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Dec 8, 2019

Found this to be a tad bit difficult than the others, but great learning and really simple explainations by Prof NG!

By Prashanth S

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Nov 25, 2019

Immense amount of learning in these first two courses. Will go over the lectures once again to cement understanding.

By Krishna T T

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Nov 24, 2019

One of the best. Having been working with deeplearning for 2 years. Yet i have had some nice pointers in this course

By Seun O

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Nov 13, 2019

There is a lot to digest in this course. As always, Andrew did a great justice to every element of the entire course

By Oscar R R M

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Aug 27, 2019

Great course, perfect continuation for the machine learning course imparted by the Standford University on Coursera.