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

4.9
stars
62,915 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.

AS

Apr 18, 2020

Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course

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3351 - 3375 of 7,222 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Koushik G

Jun 29, 2020

Very Structured way of deciphering complex concepts.

By DJ

May 17, 2020

I learned a great deal of material including theory.

By Nachiketa D

May 13, 2020

great but you can explain tensorflow in more detail.

By Ignacio A

May 10, 2020

Es un curso espectacular, super claro y recomendable

By Esther S

May 7, 2020

I miss the small questions at the end of the videos.

By Anugrah S

Apr 3, 2020

Videos and Practical Assignments both are impressive

By Deepak S

Mar 30, 2020

This course has valuable content! Well satisfied. :)

By Bao N

Mar 26, 2020

Thank you so much for preparing such a good content!

By Francesco

Mar 24, 2020

The part on optimization algorithms is really great!

By ARCHIT J

Mar 18, 2020

This course will help to optimize your model quickly

By Albert H M

Oct 25, 2019

Very deep material and clear explanation. Thumbs up!

By Rushabh A D

Sep 14, 2019

The last assignment is the Best Intro to Tensorflow!

By José A

Jul 17, 2019

I love these courses. I recommend them to anyone! :)

By Yelan T

Jul 17, 2019

This course is amazing! I will recommend my friends!

By Suraj J

Jan 1, 2019

Andrew Ng. That's all that needs to be said. Thanks.

By Thibault R

Dec 15, 2018

Thanks you very much, this is really a great course!

By Arnavesh .

Oct 14, 2018

Great intuitions and explanations by Prof. Andrew Ng

By Thomas S

Sep 2, 2018

Great for gaining deeper understanding on the topic!

By Javier M M

May 25, 2018

Worth the time if you're interested in deep learning

By Juan D B

May 7, 2018

Muy útil para entender cómo tunnear una red neuronal

By 王子铭

Mar 30, 2018

the tensorflow programming exercise is very helpful!

By Rahul G

Mar 13, 2018

Speechless. The best specialization I have had ever.

By Soumya B

Mar 5, 2018

A great high level overview of the methods involved.

By Benjamin C

Jan 30, 2018

very thorough discussion of tuning and optimization!

By John Y

Jan 18, 2018

Andrew Ng is one of the best teachers I've ever had!