Chevron Left
Back to Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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

4.9
stars
63,068 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

XG

Invalid date

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.

YL

Invalid date

very useful course, especially the last tensorflow assignment. the only reason i gave 4 stars is due to the lack of practice on batchnorm, which i believe is one of the most usefule techniques lately.

Filter by:

1826 - 1850 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Nihal V

•

Mar 12, 2021

I don't have enough words to describe, How amazing these courses are. Thank you very much for the content.

By Abhik B

•

Dec 31, 2020

Grea6t Course with excellent programming assignments. Really enjoyed my journey! Recomment it to everyone.

By ROHAN K G

•

Sep 12, 2020

Well its a Life Changing Experience. Thank You Coursera for this wonderful opportunities in this Pandemic.

By Emrullah Ç

•

Jul 2, 2020

Well organized, easy to follow. Programming assignment are very helpful. Thank you for such a good course.

By ANIKET V

•

Jun 4, 2020

very good explanation but little more clarification on batch normalization and tensorflow would be helpful

By Ruchir

•

Jun 2, 2020

Excellent, student friendly and very intuitive material. Programming assignments give a lot of confidence.

By maxime c

•

Mar 27, 2020

Really good course. This incrementation of difficulty while reusing previous courses is perfectly working

By Jeeva V

•

Mar 25, 2019

Excellent course in regularization, optimization techniques and how to use them with Tensorflow framework.

By Hari K

•

Nov 27, 2018

Andrew makes the topic interesting and easy to grasp. The assignments are very well written. Great course!

By Alberto B

•

Nov 16, 2018

Almost perfect, it needs a better explanation in the last week, specifically for the TensorFlow framework.

By HOA N

•

Oct 2, 2018

YEAH, finally I have just finished this course. I am on my training to become the expert in this industry.

By Darkwing D

•

Aug 6, 2018

The tensorflow, regularization, hyperparameter tuning sections are great. Mini-batch is a bit of a snooze.

By 李紹弘

•

Jul 2, 2018

Very deep and excellent explanation in the lectures! I learned a lot from the courses and the assignments.

By Dipan M

•

May 28, 2018

This course is essential for practically understanding the key issues, and making the systems really work.

By Abu B S

•

Apr 28, 2018

I am highly recommending this course for anyone need to touch the details of this amazing world carefully.

By dunel s

•

Mar 19, 2018

my thanks to andrew ,my family and myself.I think what i studied will make me go further on my dream road.

By Daniel E

•

Nov 1, 2017

Thank you for a well designed course with alle practical information you need to improve your NN Training!

By Elena P

•

Aug 24, 2017

Wealth of tips and techniques from an experienced team with valuable insights to share. Excellent course.

By Joshua S J L

•

May 7, 2023

Thank you Andrew Ng. The course is comprehensive and covers a wide range of spectrum of essential topics.

By Sumaya A

•

Apr 7, 2021

Andrew is a very sophisticated professor, and I will not miss the chance to have another course with him.

By chandu G

•

Dec 19, 2020

Thank you very much Prof Andrew. Thanks a lot to team coursera for giving me the key knowledge to future.

By Elma E T

•

Jun 23, 2020

The course was well paced and well timed. The intuition behind different aspects were taught really well.

By Nikhil K

•

Jun 17, 2020

Awesome! very good pacing out of material, engaging instruction and super interesting assignment as well!

By Anand S

•

May 27, 2020

Good second course. still lot more to learn. want to finish up asap and start working on Kaggle projects.

By Atharva T

•

Apr 13, 2020

Good Course. One should take in the future if one wants to know how to better tune neural network models.