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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.

AB

Aug 26, 2021

Amazing course which focus on the theoretical part of parameters tuning, but it needs more explanation of Tensorflow, as I felt a little lost in the last project. Except that, it is an amazing course.

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2176 - 2200 of 7,260 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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

By Salar K M

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Jun 5, 2023

Very thorough and detailed explanation which can help you to make your Algorithm better !!

By Jens E

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Apr 14, 2022

Great way to formalize knowledge and to understand why you do things a certain way in DL.

By Rajaram G

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Feb 12, 2022

The notebooks are so well implemented and reinforce the concepts explained in the videos.

By H.S

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Oct 16, 2021

Excellent. Though the programming assignment were way too easy with a lot of hand holding.

By metin s

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Aug 5, 2021

Great platform. I loved these Courses. I look forward to other courses. I hope it's great.

By Wayne H

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May 6, 2021

Informative, challenging but surmountable, and with great practical examples along the way

By pratik J

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Oct 6, 2020

Good course especially the way Andrew Explain Basics and makes complex concepts so simple.

By Anish A

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Jun 7, 2020

One of the best courses on improving performance and structurally choosing hyperparameters

By Luiggi S A G

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Jun 7, 2020

It was amazing Learn how Neural Network works and how to use a framework to program easily

By Ritwik S

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May 27, 2020

It would have been more nice to get detailed implementation for hyperperameter tuning etc.

By Aditya B S

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May 20, 2020

Best course ever for anyone who is seeking knowledge of Neural Networks and deep learning.

By Oqais T

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May 15, 2020

Well balanced course structure assisted with good programming assignments. I just love it.

By Medari T

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May 12, 2020

For an online course, its very insightful on how we can speed up Deep Learning algorithms.

By Tolga K

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Mar 29, 2020

Great course. You learn a lot on optimization and normalization techniques and tensorflow.

By Adrian R M

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Mar 28, 2020

Appreciate so much more the core essentials of applying common optimizations to NN models.

By liuchenyu

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Feb 7, 2020

Interesting,fascinating! But I hope more space to get in application and the art of coding

By ngoy m

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Jan 25, 2020

Learning quickly from very well thought out and put together lectures by Prof. Ng and team

By Sathvik B

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Jan 2, 2020

very practical course.... although hyperparameter tuning could be explained in more detail

By Tim W

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Dec 16, 2019

Thank Professor Ng for teaching us with such as a well-organized and very unique contents.