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

4.9
stars
62,870 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

AS

Apr 18, 2020

Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course

NA

Jan 13, 2020

After completion of this course I know which values to look at if my ML model is not performing up to the task. It is a detailed but not too complicated course to understand the parameters used by ML.

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7126 - 7150 of 7,219 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Joel P

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Mar 31, 2022

Não mostra a data de incício e final do curso ou carga horária cumprida no certificado.

By Tanurima M

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Jul 4, 2020

The course is outstanding just the tensorflow library should be taught more in details.

By Pranjal S

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May 15, 2020

The technologies and the assignments should be updated to follow the latest standards

By Chaobin Y

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Nov 3, 2017

Maybe this course can merge with the 1st one. they both cover too little materials.

By ognjen m

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Nov 17, 2022

last week is rushed and not greatly explained. Especially in the work assigment

By P A A H

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Sep 12, 2020

WEEK-3 was a little bit messy, it would have been better if it was tensorflow 2

By joel a

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Apr 25, 2020

taught concepts well, but the programming assignments felt like it was spoonfed

By Xieming L

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May 12, 2018

Good: Contents on Tensor Flow

Bad: No real useful content compared the Course 1.

By Péter D

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Oct 6, 2017

great lectures, simplistic programming assignements, ridiculously easy tests

By SAMBATH S

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Aug 2, 2020

It would be better to use TF2 as there are lots of changes in the usages.

By Di W

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Jan 18, 2018

Harder to understand. Overall quality is not as good as the first class.

By Kenneth Z

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Mar 20, 2018

It is a bit abrupt to jump into tensorflow without explaining in depth.

By Rishab K

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Apr 17, 2020

good course to learn, but more assignments should be introduce n week3

By Rajat K S

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Jan 11, 2020

Most of the solutions to the assignment were written in instructions.

By Ganesan G

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Dec 28, 2017

I am not getting to see the programming exercises that i have done :(

By Adam S

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Oct 24, 2022

Some good stuff, but very slow, and the coding was pretty trivial.

By Jonghyun K

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Apr 25, 2020

voice was too small compared to noises made by clothes and others.

By Aastha S

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Jul 14, 2021

More explanations required for functions used in tensorflow lab

By FREDERIC T

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May 13, 2018

Good courses, the sound quality is very poor (high tone noise).

By Suhas M

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Jan 20, 2019

Interface for evaluating is not great and assignments are easy

By Alex

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Sep 4, 2017

The Tensorflow part should have started sooner in the course.

By Aloys N

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Jul 1, 2019

We could have more guidance on setting a tensorflow model

By HAMM,CHRISTOPHER A

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Apr 30, 2018

Lots of theory and not enough practical implementation.

By Stefan S

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Sep 22, 2020

Content starts to feel old, but still interesting.

By Hasnaa T

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Feb 10, 2020

the circulum was some hard and over detailed