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

4.9
stars
63,238 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

CM

Dec 23, 2017

Exceptional Course, the Hyper parameters explanations are excellent every tip and advice provided help me so much to build better models, I also really liked the introduction of Tensor Flow

Thanks.

JS

Apr 4, 2021

Fantastic course and although it guides you through the course (and may feel less challenging to some) it provides all the building blocks for you to latter apply them to your own interesting project.

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2301 - 2325 of 7,260 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Jorge D

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Oct 1, 2017

great presentation of the material, clear explanations, engaging instructor: brilliant!

By 田倬韬

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Aug 29, 2017

great course with adequate exercises. it really helps me get started in the field of dl

By Jay M S

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May 12, 2023

this course gives the idea how neural networks works and how one can create by scratch

By Agustin F P R

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May 28, 2022

It's a great course! I wish there was an option to go more in depth for the coding tho

By Claudia B

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Dec 20, 2021

High quality material and easy to follow; the project is a perfect learning experience

By Thomas H

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Nov 20, 2021

Excelllent course. Deeper insights than just using frameworks or following tutorials.

By Alysson M D O B

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Jul 31, 2021

Curso excelente, foca bastante em detalhes para otimização de redes neurais profundas.

By Joe-Kai T

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May 5, 2021

I believe that this course is extremely useful for the application of neural networks!

By Andrey

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Jan 9, 2021

It's a very clear and intuitive course with the gentle dive into NN frameworks. Great!

By Rahul A

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Nov 23, 2020

The best course to understand Hyperparameter tuning, Regularization, and Optimization.

By CHIDHAMBARARAJAN R

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Oct 17, 2020

Best ANNs introductory course ... (Just wish for more elaborate content in batch norm)

By PyZoo S L

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Jun 21, 2020

straight to the point, very natural on the explanations and the maths. Very applicable

By Rida b

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May 21, 2020

very good courses , i am very satisfied, thank you Mr Andrew NG for this wanderful job

By VINAY S

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May 15, 2020

The best course to get into the field of improving neural networks.Thank you very much

By Khan S B H

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Apr 26, 2020

Great course to learn the fundamentals of the Hyperparameter tuning and Regularization

By Thomas J

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Apr 7, 2020

Really good and fun course with all concepts explained in a well and intuitive manner.

By Marshall

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Feb 13, 2020

Great overview with good practice problems. I never felt overwhelmed during the class.

By Genyu Z

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Nov 5, 2019

A lot of help. The only thing is that the programming assignment is not enough for me.

By Yassine L

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Jun 25, 2019

Loved this course, goes into details and helps you develop intuition into how NN work.

By Helder P

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May 18, 2019

Awesome. It gives a lot insights for hoe to tune deep NN through an empirical process.

By Jose M M B

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Apr 7, 2019

Very usefull for adquiring metodology on tunning parameters of a deep learning network

By Abhinay P

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Mar 27, 2019

This is one the best courses. The use of Hyperparameters and tuning is best explained.

By Fred K

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Mar 18, 2019

Very clearly explained, covers the underpinnings of a lot of the most used algorithms.

By yousuf o

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Feb 17, 2019

I learned a lot from this course. Thank you so much for offering such thorough course.

By Chad W L

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Jan 24, 2019

very good. maybe a bit more of a deep dive than I was expecting, but great nonetheless