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

4.9
stars
63,510 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

RR

Jun 13, 2020

Could have increased assignments and some more indepth knowledge of tensorflow and proper installation way of tensorflow cause mine is showing error when iam trying to practice as shown in the video

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.

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3726 - 3750 of 7,287 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Yuxing T

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Apr 16, 2018

Great for practice in modern deep learning.

By DeukYong Y

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Apr 1, 2018

중요한 Hyper parameter에 대한 배경과 이론을 이해할 수 있습니다.

By Pankaj Y

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Feb 2, 2018

Good explanatory course for neural networks

By Boris V

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Jan 19, 2018

Nice Course, thanks to all who contributed!

By Akshai S

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Jan 10, 2018

It taught me a lot of intricate concepts :)

By 廖世昌

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Jan 3, 2018

Nice teacher, very detailed and very clear!

By Nathan H

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Dec 2, 2017

Easy to understand. Excellent presentation.

By Venkata R R L

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Nov 23, 2017

Great course, good explanation of concepts.

By Dave L

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Oct 21, 2017

This is a great course which helps me a lot

By Milo C

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Sep 28, 2017

Very good course and very nice community :)

By Yusuf A

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Aug 30, 2017

Great insight into Deep Learning Algorithms

By Huzaifa S

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Feb 12, 2025

The best course,assignments and everything

By Abdallah A O

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Feb 25, 2024

One the best courses I've seen, well done.

By satya s m n

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Aug 5, 2023

Complete from scratch to using Frameworks.

By Erfan G

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Jul 17, 2023

some topics need more explanation, I guess

By Aleksander S

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Mar 19, 2021

Nice! May useful experience and knowledge!

By Nieb H N

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Nov 30, 2020

Courses from Andrew NG are always special.

By Dr.P P

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Aug 24, 2020

excellent course by andrew ng and coursera

By vijay b n

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Aug 13, 2020

Best course and I thank instructors a lot.

By Peter K

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Jul 27, 2020

Tolle, einfache, zielgerichtete Erklärung!

By ARUNABHA M

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Jul 11, 2020

Great learning from a top rated instructor

By Daniel L

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Jul 7, 2020

Very interesting, specially the last week!

By VINAY M

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Jul 7, 2020

Learning using Notebook is is really Nice.

By Peter S

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Jun 19, 2020

Great course, it really builds intuition.

By UnniKrishnen N

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Jun 14, 2020

Amazing explanation and practical approach