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

4.9
stars
62,874 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

CM

Dec 23, 2017

Exceptional Course, the Hyper parameters explanations are excellent every tip and advice provided help me so much to build better models, I also really liked the introduction of Tensor Flow

Thanks.

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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3651 - 3675 of 7,219 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Amit K G

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Apr 23, 2020

This course has enriched my knowledge of DL.

By Shweta S

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Apr 22, 2020

Course was very informative and explanatory.

By Robert A

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Apr 19, 2020

The course was great . Notebook is terrible.

By 曹杰

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Apr 8, 2020

Very practical aspects of DL, thanks Andrew.

By Md F A B

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Mar 31, 2020

Well organized and good assignment materials

By Eden C

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Dec 8, 2019

Best Learning material for Machine Learning.

By Ahmet T

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Sep 27, 2019

It was very good experience and class for me

By Qasem A A

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Aug 5, 2019

Thank you much for such interesting courses

By 龚鑫

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Jan 26, 2019

very nice, I learned a lot from that course!

By Ryan G

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Jan 24, 2019

this course was amazing. I really enjoyed it

By An-Dân N

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Aug 26, 2018

Nice course, nice instructor, nice materials

By mobwiz

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Jun 23, 2018

Very good, I learned a lot from this course.

By 康一帅

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May 10, 2018

本课程让我了解了正则化，BN，Softmax背后的原理以及接触了TensorFlow框架

By Michael K

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Apr 30, 2018

Well explained and documented - recommended!

By Alex T S

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Feb 28, 2018

Comprehensive, clear, and engaging as usual.

By Uzair A

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Feb 16, 2018

Very helpful and good learning experience...

By kingsleyhsu

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Oct 27, 2017

very good,easy understand and help me a lot.

By Ryan S

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Oct 11, 2017

Andrew is the best. Assignments are too easy

By José C B

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Sep 8, 2017

Great material and didactic classes. Thanks!

By Ziqi L

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Mar 25, 2024

Super great! Very systemetic and innovative

By 300_MEGHA S

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Jan 18, 2022

perfect course for deep learning enthusiast

By JONATAN D P H

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Jul 5, 2021

Genial!. Muchas gracias, aprendí muchísimo.

By Suraj P

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Feb 9, 2021

Most important and unique course of series.

By Kostadin G

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Jan 5, 2021

Fantastic way to learn/improve your skills.

By EL H E S

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Jun 16, 2020

thank you very much for this amazing course