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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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2151 - 2175 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Tshephisho J S

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Apr 26, 2018

This course is a must study because fine-tuning models is way important in machine-learning.

By Andrew H

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Apr 5, 2018

Really helped build my understanding and intuition for how hyperparameters affect NN models.

By Tharindu W

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Mar 20, 2018

The course is getting interesting as the real world applications and the frameworks flow in.

By KanekiKen

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Jan 17, 2018

The content is very intersting and inspiring.

Thanks to the instructors and TAs' great work!

By Venkat P P

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Aug 31, 2017

Good coverage of topics for hyperparameters and clear explanations of their usage and tuning

By Mehdi H

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Mar 5, 2023

coursera and anderow ng are awsome .

i hope you best

.thanks to depp ai and coursera team .

By george s

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Oct 2, 2021

Essential to learn in deep the meaning and impact of each hyperparameter and other details.

By Sudheer D

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Aug 2, 2020

Good content and the hands-on assignments helped a lot to get more insight about the course

By Rajat P

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Jul 29, 2020

very well explained hyperparameter tuning, optimization in low level as well as tensorflow

By César A F N

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Jul 15, 2020

Great course, i'm really impressed with all the math underpinning such beautiful algorithms

By Vivek G

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May 7, 2020

Great Course to get an in-depth knowledge about hyperparameters and optimization techniques

By Ashwin K

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Apr 25, 2020

Nice course to understand hyperparameter tuning in neural nets. Good practical information.

By Shubham P

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Apr 17, 2020

Lots of hyperparameters to deal with, but no need to worry until Andrew Ng sir is with you.

By Justin G

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Mar 25, 2020

A good step-up of difficulty from the first course, I'm going to finish this Specialization

By Bharathikannan N (

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Dec 26, 2019

The coarse is well structured a so great.I enjoyed a lot.Thank you for this amazing coarse.

By jamie s

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Sep 18, 2019

Excellent course! Learned much more than the one Neural Networks university course I took.

By ishan m

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Jun 21, 2019

Very Intuitive and well explained. Extremely helpful strategies listed for training models.

By Darrell T

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Nov 18, 2018

Very good course! The intuitions and motivations of key concepts are very clearly explained

By 翁嘉进

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Mar 21, 2018

It is helpful for me to improve effiency of deep neural network.Thank Andraid ng very much.

By Samuel d Z

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Mar 3, 2018

So much I learned from this course in such a condensed and short period of time...thanks!!!

By Laszlo A

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Oct 30, 2017

very nice extension to the first course. Built up in an easy to follow and interpret manner

By Narasimha P

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Oct 2, 2017

Offers good insight in Neural Networks, Training & introduction to a framework - TensorFlow

By Sunil P

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Aug 20, 2017

Really awesome, get to know basic understanding of parameters, regularisation and many more

By vaasala b

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Feb 25, 2024

this course was awesome. well structured and contained great assignments for good practice

By Azizjon K

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Aug 23, 2023

As expected it was a great course with a lot of valuable insights and easy to follow tasks