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

4.9
stars
63,156 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

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

HD

Dec 5, 2019

I enjoyed it, it is really helpful, id like to have the oportunity to implement all these deeply in a real example.

the only thing i didn't have completely clear is the barch norm, it is so confuse

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1176 - 1200 of 7,249 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Bo L

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Mar 26, 2021

All the deep learning .ai was set up very organized. Future suggestions would be to make it more academically and look like a university-level course.

By Ishan D

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Jun 1, 2020

The course material and assignment is in sync with each other. I like the way it is organized. Thank you to the team for coming up with this offering!

By Yagyesh T

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May 18, 2020

Once a legend said that AI is the new electricity and we all know who Nikola Tesla is ! It's always a pleasure of studying all these under Andrew Sir.

By David P

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May 18, 2020

I found this course very interesting, incrementally building on previous courses in depth and breath, while preparing me for the Tensorflow framework.

By Densen P

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Apr 21, 2020

The video tutorials couldn't be more informative. Loved the programming assignments. Made me realize the importance of doing the work systematically.

By Ned C

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Nov 25, 2019

Professor Ng is just an incredible teacher. This is one of the best organized series of courses I've ever taken (including undergrad and grad school)

By PRIYANK U P

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Oct 11, 2018

Awesome course! It has open up my thought and approach in deep learning. The professors lectures were awesome and helped me a lot. Thank You Coursera!

By Raed C

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Oct 2, 2018

Awesome!.... I'm feeling getting more in shape with this specialization. Andrew lectures and the video series of Heroes of Deep Learning are the best!

By Pathairush S

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Apr 17, 2018

This is superb. It teach you to tune the model and focus only important part. it prevent you from wasting the time to learn everything from a scratch.

By Krishna B

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Mar 11, 2018

Great course. The lectures are very helpful. And really the course assignments are the best thing. The assignments really helped reinforce the theory.

By Sahil S

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Dec 19, 2017

Great Course!!! Gave a lot of insight in tuning the hyperparameters which play an important part in the formation of a formidable deep learning model.

By Melike Ä°

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Oct 11, 2017

Andrew Ng is a great instructor and the lecture material is created

attentively. I recommend this specialization to anyone interested in deep learning.

By Chris R

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Sep 20, 2017

Great course, can't wait to work through the rest of the courses in this specialization. The course is a lot of fun and helping me build a new skill.

By Chi H T T

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May 19, 2021

Really like Andrew's drawing of the horse (for the saddle explanation) haha, he should do more artistic expression like that when given the chance!!!

By Sudip B

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Oct 27, 2020

This was a well thought-out course. Really enjoyed the technical breakdown of what's going on under the hood before directly jumping into Tensorflow.

By David E C G

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Sep 11, 2020

Genial, this course give me a lot of theory and practice of how I can optimize Neural Network's for optimize the train time and get better results.

By indavarapu a

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Jul 13, 2020

course was very good. Understood the basics of the most used optimizers. Got to know about batch norm and why it works.Also learned about tensorflow.

By RISHAV D

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May 27, 2020

During Batch Normalisation if the Formulas to calculate the gradients of the various parameters were given then it would ave been a great experience.

By Suchir B

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May 8, 2020

This is a really good and informative course. It explains the concepts well and also gives one an opportunity to practice and do the work themselves.

By Irvin

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Oct 22, 2019

Great course, super motivated that we've started using Tensorflow. I feel like I can start playing around with a personal project to learn some more.

By Abhishek J

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Oct 8, 2019

Thank you for this another wonderful course. I think I feel ready to move on to higher level Machine Learning platforms [keeping my basics intact] :)

By Alexandre D

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Aug 26, 2019

Another excellent course by Andrew Ng. Good synthesis of optimization methods and current best practices for normalization and hyperparameter tuning.

By Manuel A

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May 5, 2019

Very in-depth overview of theoretical concepts, but explained carefully and intuitively. Adding some practical Keras-Tensorflow lessons would be nice

By SURAJ K

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Mar 2, 2019

This course really nailed down to tuning process and I would totally recommend to everyone especially if you are interested in doing ML using Python.

By Akash S

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May 27, 2018

I have learned a lot of important and interesting concepts. Andrew Ng's simple explanations made learning and grasping new concepts easier than ever.