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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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1726 - 1750 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Karthik K M

Oct 11, 2019

Awesome course to know about the hyperparameters and their tuning and its importance while training the network.

By Suvansh B

Sep 15, 2019

Its a great course for learning optimization techniques which are very well explained with the math behind them.

By adolfo b

Aug 28, 2019

Great course. I now have a better understanding of the process of fine tuning a model to maximize its accuracy.

By Christian V

Jul 15, 2019

Perhaps more examples of tensor overflow with direct implementation of neural networks provided by the framework

By Jorge M G O

Jun 2, 2019

Estoy muy emocionado por los cursos de la especializacion, he aprendido bastante. Le agradezco a deeplearning.ai

By Hanna P

May 6, 2019

Highly useful course. Complex concepts are explained in a structured way which makes them easily understandable.

By pochadri a

Jan 27, 2019

very good understanding of the hyperparameters for various optimization algos is given, with very good intution.

By Mike I

Aug 24, 2018

Was insightful and excellent. Looking forward to immediately learn the next course as I implement the knowledge.

By SHENGCHAO Z

May 6, 2018

Good Course! But for the last week's assignment, more details and instructions needed for the Tensorflow syntax.

By Kranti A

Mar 4, 2018

Thanks for clear explanation and for good content, helped me to understand and learn how to improve Optimization

By 박석 / P S

Dec 26, 2017

It was very helpful to grasp the differences in the concept of 'Normalization, Regularization and Optimization'

By Vito D

Sep 18, 2017

Excellent course, updated my knowledge of gradient descent optimization techniques, introduced me to tensorflow.

By Tianyue Z

Sep 11, 2017

introduced different aspects of how to improve the performance of NN. For beginners like me, it is very helpful.

By Amalka W

Sep 2, 2017

This course teach how to tune the deep neural network which is one of the most important aspect of deep learning

By Dan H

Feb 28, 2021

Excellent and detailed. Really gives intuitive understanding of how your optimisations work behind the scenes.

By Navneet N

Sep 28, 2020

This course is beautifully designed and practice and lab assignments take us on a journey from root to the top.

By Gokul S

Jul 31, 2020

The Intricacies of Fine Tuning a model to ooze out performance from is conveyed quite clearly from this course.

By DUDHAVAT K M

Jun 14, 2020

I really like the way Andrew explains the reason behind each type of algorithm and when to use it in our model.

By Andy W

Jun 13, 2020

Better than the previous course. I would recommend if you are more likely to apply what you learn into practice

By Pree R

Feb 20, 2020

This is a great course designed to give students proper insight into the hyperparameters & their tuning methods

By Aamir I

Jul 15, 2019

I am delighted to have completed this course, now I know how Hyperparametrs actually work and how to tune them.

By William F

Feb 17, 2019

Good solid theory and practice advancing my understanding of deep learning and an effective intro to TensorFlow

By Yi X C

Oct 25, 2018

Amazing simple explanation by Andrew Ng and easy to follow practice. Very much needed for the busy practitioner

By Trần N M H

Sep 4, 2018

This is an amazing course! It introduced me a lot of knowledge and techniques to improve a Deep Neural Network.

By Dheeraj B

Nov 21, 2017

Great material very informative and brisk pace of learning keeps you engaged and learning new things all along.