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

4.9
stars
63,175 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

AM

Oct 8, 2019

I really enjoyed this course. Many details are given here that are crucial to gain experience and tips on things that looks easy at first sight but are important for a faster ML project implementation

XG

Oct 30, 2017

Thank you Andrew!! I know start to use Tensorflow, however, this tool is not well for a research goal. Maybe, pytorch could be considered in the future!! And let us know how to use pytorch in Windows.

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1876 - 1900 of 7,253 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Niwanshu M

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Sep 3, 2019

Sir , you're amazing . About to complete this course within 3 days . Very much excited to learn from you

By Bhishan P

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May 30, 2019

This course helps to understand further knowledge that we learned in the previous part 1 specialization.

By Ventsislav Y

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Dec 15, 2018

Awesome course. I really like the detailed explanations and the exercises. I'm looking for the next one.

By Quentin G

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Jul 26, 2018

Encore un excellent cours, faisable en 3-4 jours pour un passionné. Merci pour toutes ces connaissances.

By Jingbo H

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Jun 13, 2018

very good course: good teaching, useful materials, very good assignments to master the ideas. I like it!

By 向金芳

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May 12, 2018

I think it's so good for me . In the process ,l learn so much about code to improve deep neural network.

By Arunmozhivarman S

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Apr 22, 2018

It would be better, if some Tensorflow related tutorials or examples been provided to jump start easily.

By Michal M

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Mar 4, 2018

Coding exercises were really good in this one. Easy to follow and gave you the conceptual understanding.

By David K

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Dec 10, 2017

Great in depth course on how things actually work behind the available deep learning framework out there

By ARUN Y

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Dec 1, 2017

Build confidence about using tensorflow for deep learning. Also some clue on hyperparameter optimization

By Daolong W

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Oct 31, 2017

very helpful! saved huge amount of my time in understanding those concepts and methods by self education

By Guru C T K

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Oct 30, 2017

Most of the concepts were explained clearly and in a very practical manner. Thanks Prof. Ng and the TAs!

By Deleted A

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Oct 28, 2017

Very interesting, delivered with Andrew Ng's ability to explain complex topics in a very accessible way.

By Andrew F

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Oct 1, 2017

A solid course in working with deep neural networks. The focus on hyper parameter tuning is instructive.

By Jonathan F

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Sep 11, 2017

Excellent! Brings great tips and confidence to troubleshoot your algorithm + a good intro to TensorFlow.

By Caio V

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Sep 4, 2017

This is a Must Do course. I learned a lot of technics that is improving my result in my current project.

By Sergio L

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Aug 20, 2017

Great follow-up, I'm very excited to use frameworks too with a full understanding of the basic concepts.

By Jabir K

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Jul 5, 2023

A very well organized course to understand DNN, hyperparameter tuning, regularization, and optimization

By GAUTAM K

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Jun 26, 2022

I like the couse taken by andrew Ng sir. It helps me lot to have better understanding on deep learning.

By Mario A C F

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May 10, 2021

Great course for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Pablo M M

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Oct 29, 2020

The Tensorflow part was great! I could deep dive into the underlying operations of tensor calculations.

By Anfernee

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Jul 6, 2020

This course refreshed my memories of many important concepts that I learned in my university DL course.

By Itamar d P R F

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Jun 28, 2020

Really good course, quite challenging math, but excellent to understand how Deep Learning really works.

By Sarith D M

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Jun 16, 2020

Great course. Thank you professor Andrew Ng and teaching assistants Kian Katanforoosh, Bensouda Mourri.

By Quentin Q

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May 24, 2020

Very helpful course to gain knowledge of deep learning by implementing various optimization algorithms.