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

4.9
stars
63,515 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

DH

Apr 27, 2020

Everything, Everyparameter in neural networks looks familiar to me now. I feel like I can optimize them for better accuracy. Overall I learned some new things and the way of teaching was really nice.

SC

Feb 15, 2018

A valuable course in enhancing one's ability to properly identify the correct Hyperparameter to tune according to the situation - a critical task in day-to-day debugging & tuning of an algorithm.

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4001 - 4025 of 7,288 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Cong C

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Dec 29, 2017

Contents are almost state of the art

By Calvin L

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Dec 25, 2017

Programming exercises were too easy.

By Steven S

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Nov 25, 2017

Excellent course!! Very informative!

By Siddhesh

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Oct 27, 2017

This is gonna be useful for my paper

By liu c

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Oct 19, 2017

very good teacher, very good lecture

By Deniz K

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Oct 18, 2017

Superb course. I would recommend it!

By Wei F

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Oct 9, 2017

Well organized materials, Thank you!

By Pedro A R

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Oct 2, 2017

Very good introduction to TensorFlow

By MOHAMMAD H B M T

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Oct 1, 2017

very good course. easy to understand

By Byung U K

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Sep 30, 2017

The best Deep Learning class ever!!!

By Ignacio U F

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Sep 25, 2017

I loved to learning about TensorFlow

By 陈丛林

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Sep 21, 2017

a really useful course for beginners

By 西风

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Aug 27, 2017

可以学习不同的高级参数调整方式，正规化的方式和Tensorflow的使用

By Rayan B

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Oct 5, 2024

Amazing pace, clarity and structure

By Anjum Z

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Jul 24, 2024

Great Learning with great teachers.

By Gonçalo C

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Dec 1, 2023

a must have for an AI professional!

By John M

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Apr 14, 2023

It was an exciting learning journey

By ruchi m p

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Jun 26, 2021

Excellent !!! Very nicely explained

By Myunggwan J

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May 29, 2021

It would be greatly helpful for me!

By Fekedew H

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Oct 16, 2020

good explanation with great project

By Mohammad A H

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Sep 7, 2020

do we have better than Andrew??????

By SOHAIL I K

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Aug 26, 2020

Perfect course. I enjoyed it a lot.

By Marc-Antoine H

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Aug 14, 2020

Excellent course. Highly recommend.

By Jorge R O T

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Aug 10, 2020

very compact and full of new things

By KRITHIKA G

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Jul 14, 2020

Thanks for such a wonderful course.