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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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2276 - 2300 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By rtester 0

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Jun 22, 2020

wonderful contents, to the point descriptions, short but deep and thorough explanation.

By Hetal K

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Jun 14, 2020

Very important subject for deep neural network, thanks Andrew for excellent explanation

By Ravindra K

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May 25, 2020

The course tells us about how can we improve accuracy by taking care of hyperparameters

By gaurav s

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Apr 12, 2020

very well conducted course. andrews helped me to understand the concepts pretty nicely

By Sandipan D

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Apr 12, 2020

Love intro to tf. But I still hope there was the keras way of doing these - as in tf2.0

By Deepankar A

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Mar 6, 2020

Really a very interesting course. Got me even more curious and involved into the topic.

By Anurag S

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Dec 26, 2019

Amazing course taught by amazing instructors. I feel hugely indebted to my instructors.

By angelo f

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Dec 11, 2019

This course was exponentially better and more informative than the previous. Thank you!

By FABIYI O

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Aug 19, 2019

Great course!!!

Really thorough with adequate examples to understand the concepts needed

By Emre E

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Aug 3, 2019

Simple breakdowns of hard concepts and building intuition from ground up. Great Course!

By Afiq S

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Feb 25, 2019

Though a little more complex for a Python beginner like me, I find it easy to follow :)

By David A

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Oct 15, 2018

Excellent information on improving networks. Real ground up understanding very helpful.

By liupa

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Mar 11, 2018

This course gives lots of useful method to improve NN in detail, and easy to understand

By Abhishek M

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Mar 5, 2018

It has been an honor to learn from one of the leading experts in AI. Thank you, Prof.Ng

By Adrien A

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Feb 3, 2018

This course makes very real the somewhat theoretical concepts seen in the first course.

By Prabhjot K

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Dec 29, 2017

very nice course, worth spending time and money if you want to make your concepts clear

By Michał K

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Oct 28, 2017

Excellent course with attention to detail and good balance between theory and practise.

By Martha Y S V

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Oct 16, 2017

Very well structure course, the practice session and the videos are very nice oriented.

By Guilherme J D

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Oct 11, 2017

This course is really awesome. It makes us learn the nuts and bolts of neural networks.

By Jorge D

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Oct 1, 2017

great presentation of the material, clear explanations, engaging instructor: brilliant!

By 田倬韬

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Aug 29, 2017

great course with adequate exercises. it really helps me get started in the field of dl

By Jay M S

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May 12, 2023

this course gives the idea how neural networks works and how one can create by scratch

By Agustin F P R

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May 28, 2022

It's a great course! I wish there was an option to go more in depth for the coding tho

By Claudia B

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Dec 20, 2021

High quality material and easy to follow; the project is a perfect learning experience

By Thomas H

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Nov 20, 2021

Excelllent course. Deeper insights than just using frameworks or following tutorials.