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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

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.

NC

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Yet another excellent course by Professor Ng! Really helped me gain a detailed understanding of optimization techniques such as RMSprop and Adam, as well as the inner workings of batch normalization.

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1051 - 1075 of 7,238 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Ankur S

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

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 Jennifer P

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 JanessaTech2022 Z

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

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

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

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

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

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 Lim H H

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

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

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

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

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

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

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

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

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

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

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

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

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.

By FABIÁN M V

Jul 8, 2020

My biggest problem was the Programming Assignment, I had many problems finishing, but without count it, the course was very good and I feel that learn so much.

By Kevin J

May 13, 2020

This was a very good course it seems that is designed to take care of the audience with math background as well as non-math background. Really a great course!!

By Aswin S T

May 29, 2019

Thanks for this excellent course. It helped me reinforce the understanding of Deep Neural Networks and pay attention to hyperparameter tuning and optimization.