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

4.9
stars
63,175 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

AM

Oct 8, 2019

I really enjoyed this course. Many details are given here that are crucial to gain experience and tips on things that looks easy at first sight but are important for a faster ML project implementation

XG

Oct 30, 2017

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.

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1051 - 1075 of 7,253 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Marc S O

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Jul 4, 2020

I like how the course guide through the math as easy as possible and focused on having the intuition that really helps during practical machine learning projects

By Anderson J S d O

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Jun 29, 2020

Muito Obrigado pela oportunidade Coursera. Os cursos de vocês desvenda toda teoria que engloba o assunto. Obrigado pela oportunidade e pelo excelente curso !!!!

By Raakesh S

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Jun 12, 2020

Always in favour of Dr. Andrew Ng's course. But, it would be good to improve the difficulty of programming exercise though it is quite fun and really informative

By Ankur S

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May 30, 2020

Got to learn lot of things from this course. Like hyper-parameter tuning, softmax, batch normalization, tensorflow etc. The quiz and assignment was very helpful.

By Shweta S

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Dec 22, 2019

This course is really helpful in improving neural networks and getting a better understanding of deep neural networks and tensorflow assignment is very helpful.

By J P

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Dec 4, 2019

Really enjoy Andrew Ng's teaching style. I like that he takes the time explain the principles and reasons behind the various methods and optimisation strategies.

By JanessaTech Z

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Nov 7, 2019

I strongly recommed the one who has learnt this course learn this course. I cannot image I mastered a lot of knowlege in a just few days. Thanks a lot, Andrew Ng

By Somashekhar H

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Oct 19, 2019

The Course covered for steps/procedures for improving the performance by parameter tuning of the neural network models.The Intuition forTensor flow is very good.

By Shridhar H

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Aug 25, 2019

This course has helped me understand the core concepts of Neural Networks. However, the assignments are very much easy and hints pretty much give away the codes.

By Alexey D

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Mar 4, 2019

Great structured course which helped me a lot with understanding of the main aspects of how Neural Networks do what they do, and how to make them predict better.

By Michael B

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Oct 3, 2017

Very good explanations of parameter tuning etc. and especially a good and interesting introduction to TensorFlow. Liked the way the tutorial is set up very much.

By Chavda S M

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Mar 5, 2021

An excellent experience through this course. The programming exercises are up to the mark. This course helped me a lot to cover regularization and optimization.

By Hooi H L

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Aug 13, 2020

Very detail explanation that provides very clear intuition of the concept. The assignment is very good in putting the theory into the practical user experience.

By Rahul A

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Jun 26, 2020

A very well explained course with details of tuning Neural Networks for improved performance. Andrew Ng makes it pretty easy to understand. Thank you very much!

By John G

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May 23, 2020

What an amazing course!! We are using Machine Learning and Deep Learning at my job. I feel so far ahead of my peers because of this course. Thank you Andrew!!

By Raghunandan K b

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Apr 26, 2020

very good course now i know how to tune your model and make it more effcient i'm glad such courses exist cant wait to complete next course of the specialization

By Animesh S

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Jun 16, 2019

Pretty decent intro, could have had more on programming in Tensorflow, so that TensorFlow functions for every concept become a part of my habit as a programmer.

By Jitin K

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Mar 5, 2019

Prof. Ng is a great instructor. The course is very well structured and broken down into easily digestible materials. Very useful for a ML/Deep Learning Student.

By Pete C

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Jun 21, 2018

Very well delivered. A few mistakes in the notes and programming exercises, but identifying those just makes you think through the problems more. Learned a lot.

By Devender K

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May 14, 2018

Covers the basic of tuning very well. Exercises to provide solutions to real problems are needed. This will help in independently creating better understanding.

By Yifang C

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Sep 15, 2017

At first I thought some talks are too fundamental, but it turns out those small details and even code convention help to accelerate my thoughts during research.

By Francesco T

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Sep 23, 2021

Great course explaining in details all the important aspects playing a fundamental role in terms of performances and often overlooked by beginner practitioners

By Liu H

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Oct 28, 2020

I have learned much from this course. It is well organised and easy to follow. It is related with my current project, medical image registration. thanks a lot!

By Deleted A

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Sep 7, 2020

It was great experience for me. some things are difficult to understand. But i try my best. anyway i like to present value to andrew to his amazing explanation

By Prabhat k

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Aug 22, 2020

Meaningful practical exercises before using any framework helps in firming the basics on understanding right! A must have course from Andrew for deep learners.