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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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1976 - 2000 of 7,253 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Justin H

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May 26, 2023

Numpy implementation Neural Networks. Intense. Insane. Hyperparameters == a tweaker's wet dream

By Minh K P

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Dec 28, 2022

This course helps me understand how to improve the models and have a strategy to decide what to do.

By killer L

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Jan 27, 2021

A great course give a good intuition to hyper-parameters and advance optimization methods! Worthy !

By Anastasia Y

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Jan 10, 2021

Challenging, yet comprehensible, the course offers a deep understanding of how to optimize your NN.

By Jorge M

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Sep 9, 2020

Great course for learning the foundations of Hyperparameter tuning, Regularization and Optimization

By Gabriel A A C

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May 21, 2020

I loved the programing exercises, very well written, in-deph explanation and a little bit of humor.

By Jiahui W

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Dec 30, 2019

The Coding assignment is a little bit easy. Most question could be done without watching the video.

By Ingrid N

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Nov 13, 2019

Excellent explanations. What I like best it all the intuitions for why things work that are given.

By Muhammet A Ö

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Sep 17, 2019

How dare you not rate this course with 5 stars. ? :) Thanks Professor Andrew ! Awesome explanation.

By sherryz

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Sep 9, 2019

Very useful course, it helps me systematically learn the main aspects/methodologies of improving NN

By Anat G

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Dec 3, 2018

A very good course. Andrew Ng explains things clearly and the exercises contribute to understanding

By Jaime R

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Nov 20, 2018

Very practical step from the previous one. Learning to use Tensor Flow was particularly interesting

By Diego J

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Nov 1, 2018

This course is highly necessary for those who wants to dive into deeplearning. Very well explained.

By Bishwarup B

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Jun 3, 2018

The explanations about different optimizers and batch normalization are really good. Learned a lot!

By LiJia

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Jun 3, 2018

It's a great class offer a lot of useful experience of deep neural networks. Really thank Coursera.

By Federica N

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May 3, 2018

Great course! I am loving the specialization so far. Nice intro to Tensorflow but am keen for more!

By Vu H N

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Mar 19, 2018

Great class and I learned a lot, except I feel like the programming assignments had too much hints.

By 闫胤兆

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Dec 5, 2017

This course tells more method to tune your NN more efficient. It's very useful to apply math to DL.

By Lluís P

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Nov 27, 2017

All clear and very handy. It helps to understand some of the low-level insights of NN. Recommended.

By Souvik S B

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Nov 4, 2017

Excellent course. Really helpful. The way it is designed and taught makes the understanding better.

By Rinat R

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Oct 1, 2017

Excellent course by Andrew Ng, who has the special gift of turning everything into clear and simple

By Eugenia I

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Sep 6, 2022

Learned so much on how to optimize Neural Networks. It's an excellent course, highly recommended!

By Israel C

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Jun 8, 2022

I like that you provide some short text with the theory behind each concept instead of just videos

By nastaran s

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Sep 7, 2021

I learned a lot in this course. i will recommend it to anyone who want to learn about deep leaning

By Arjun P

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Jun 9, 2020

Got to learn a lot about tuning hyperparameters and various optimization algorithms other than GD.