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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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2751 - 2775 of 7,261 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Kushagra S 4 B M E I V

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Jun 5, 2020

interactive nature of learning and implementing makes the course great.

By CHANDRESH M

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May 2, 2020

Teaches the maths and how to implement the important parts from scratch

By 1

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Apr 30, 2020

A well-created course. A must course for all deep learning enthusiasts.

By Amandeep S

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Apr 20, 2020

A great buildup on the first course, Very good explanation of concepts!

By emmette

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Apr 18, 2020

This is a great overview of how to optimize neural network performance.

By Xiangyu P

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Feb 18, 2020

Very clear explanation. Carefully designed practices. Wonderful Course!

By Oktay

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Dec 30, 2019

Great course, great lecturer! The interview sections are great as well!

By Ankur A

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Oct 3, 2018

Best course for understanding tuning of parameters and hyperparameters.

By Massimo F

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Sep 8, 2018

it is a very good follow-up of the first course on deep neural networks

By shivendra s

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Jun 11, 2018

i like the way of teaching and we want courses of AI from andrew ng sir

By Shengquan W

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May 17, 2018

The autosave often failed, which caused me to rework on my programming.

By Shantaram G

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Mar 21, 2018

Great lessons and assignments. Feels very competent. Thank you so much.

By Jan Z

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Mar 6, 2018

Very informative, concise, well presented, builds necessary intuition.

By Wayne R

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Oct 29, 2017

Appreciate the clear explanations and thoroughness of all your courses.

By Brad H

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Oct 2, 2017

Fantastic course. Andrew Ng teaches this stuff better than anyone else.

By Alfonso M

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Sep 28, 2017

We missed some questions at the end of each lesson. Andrew is awesome!!

By Paul A

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Aug 27, 2017

Thanks sir Andrew for sharing your experiences! It saves us many years!

By Jeong W H

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Aug 28, 2023

Please add more lectures for PyTorch too! thank you for great lectures

By Mukesh M

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Mar 22, 2023

Improving Deep Neural Networks, and my understanding of Deep Learning.

By Katlego N

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Feb 28, 2021

Like the Course, wished the dataset to the particle were shared Aswell

By Nils H

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Sep 16, 2020

The Tensor Flow v1 programming assignment should be replaced by v2 one

By ALÄ° T

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Jul 23, 2020

Best course for researchers, Msc Phd students. Thanks for your effords

By Nick G

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Apr 16, 2020

Very instructive, to learn low-level tecniques for ML usually not seen

By Shivakeshavan

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Apr 16, 2020

It was a useful course but would appreciate more details on Batchnorms

By Dishant S

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Apr 11, 2020

An excellent course covering all the basics and required explanations.