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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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3551 - 3575 of 7,288 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Yongtao M

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Aug 26, 2017

It become more interesting than the first course

By Vishwayishwaran L

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Jul 27, 2024

nice explanations, good course explain strategy

By Ernesto R M

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Oct 9, 2023

Excelente curso, buena relacion teoria practica

By Ankit

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Apr 20, 2022

Excellent explanation of optimization concepts!

By Daniil M

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Mar 23, 2022

Great course.

Very clear and useful information.

By Janendra H D A

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Jan 5, 2021

Fantastic. Really helpful for beginners like me

By Prakhar C

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Dec 17, 2020

Great course on improving deep neural networks!

By peilang

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Sep 7, 2020

have mastered how to optimize a neural network.

By John W

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Aug 24, 2020

very helpful course for me to start learning NN

By Pinninti A

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Aug 16, 2020

Excellent flow of teaching and good assignments

By Mullangi R

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Jun 6, 2020

exceptionally good , way of teaching is awesome

By Sooraj S

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May 25, 2020

This is my first study on hyperparameter tuning

By Jayesh S

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May 18, 2020

great intuition about different hyperparameters

By suyash s

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May 12, 2020

Exceptional Teaching by Andrew Ng. Thanks Alot.

By Kingsley N K K

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Mar 21, 2020

Good guideline and full of useful information.!

By Ignacio R L

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Feb 23, 2020

Great course to learn about models optimization

By Harshal D

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Dec 24, 2019

very helpful for learning improving performance

By GÖNÜL S

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Nov 25, 2019

It is really impressive and instructive course!

By Zhen T

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Nov 17, 2019

Very good clarification in lecture and homework

By Sannyii

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Nov 13, 2019

the lecture is a litte fast, but is very useful

By malte c

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Sep 4, 2019

Entertaining and insightful, always a pleasure!

By Sylvain L

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Aug 22, 2019

Excellent mix of theory and practical examples.

By JIMMYKUMAR A

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Jul 14, 2019

Great course, programming assignment was great.

By Emircan K

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Apr 26, 2019

Exceptional teaching by Andrew Ng. As always...

By Pieter J V V V

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Mar 29, 2019

Very clear explanations, well guided exercises.