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

4.9
stars
63,477 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

AA

Oct 22, 2017

Assignment in week 2 could not tell the difference between 'a-=b' and 'a=a-b' and marked the former as incorrect even though they are the same and gave the same output. Other than that, a great course

MD

May 5, 2018

Would have liked to see the math and more complete explanations for all the things that Prof. Ng glosses over by saying "you don't really need to understand XYZ". Even if this material was optional.

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3051 - 3075 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Md. M H

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Feb 12, 2019

Great course and great tutorials on a deep learning framework.

By 伟杰 邓

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Dec 5, 2018

I will keep taking the following courses given by professor Ng

By Vinay M

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Aug 15, 2018

Excellent start for using TensorFlow and hyperparameter tuning

By Sudip C M

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Aug 5, 2018

Excellent introduction to hyperparameter tuning and tensorflow

By Shounak D

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Jul 31, 2018

Great course as usual..excited to complete the specialisation.

By SUBHABRATA T

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Jul 23, 2018

In depth theory but i need some more programming explaintion .

By rachit g

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Jul 17, 2018

Excellent course. This course has no substitute in the market.

By Ganesh R

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Jun 30, 2018

Good course to understand the Hyperparameters and Optimization

By Divya R

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Mar 31, 2018

Great, but gets complex. Which is good, but also difficult! :)

By Cheryl A

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Mar 21, 2018

Really great insights and intuition on tuning and optimization

By Phi N V

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Dec 14, 2017

the course is so good but the problem set should be more handy

By Amit P

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Dec 7, 2017

Anyone who wants to learn Deep learning must take this course.

By Rodney R

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Nov 16, 2017

Amazing course! That explain step by step how to do.

Thank you.

By Amy L

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Oct 24, 2017

Amazing Course, the teaching approach is from shallow to deep.

By Khurram S

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Oct 13, 2017

Great course! good to learn Hyper Parameter to tune Parameter.

By Sarth S

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Feb 15, 2024

Excellent course for finer details of machine learning models

By Milad S

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Oct 29, 2021

this is LOVELY course, TNX you mr NG and coursera.

with LOVE

By Shahnawaz S

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Sep 14, 2021

I like the content and the way trainer explained all about it

By Hengrui C

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Jul 22, 2021

Great introduction to tensorflow and related tuning concepts.

By Alejandro F N

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Mar 6, 2021

Great continuation for improving my neural networks knowledge

By Saurabh S

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Feb 23, 2021

Very much enjoyed doing this course. Cheers, Andrew and team.

By Apurva T

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Nov 28, 2020

Perfect course to learn Hyper-parameter tuning and Tensorflow

By Rafael M

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Jul 23, 2020

Excellent course. Only downside is week3 is in TensorFlow 1.0

By Anil K

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Jul 3, 2020

Awesome course, Thanks Andrew ng to taught again great topics

By haiderali

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Jun 3, 2020

Simple, fact full and amazing course. Definitely recommended.