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Learner Reviews & Feedback for Neural Networks and Deep Learning by DeepLearning.AI

4.9
stars
121,644 ratings

About the Course

In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning. By the end, you will be familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient (vectorized) neural networks; identify key parameters in a neural network’s architecture; and apply deep learning to your own applications. 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

VB

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This is a very good course for people who want to get started with neural networks. Andrew did a great job explaining the math behind the scenes. Assignments are well-designed too. Highly recommended.

NL

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This course helps me to understand the basic concept of Deep Learning. However I think this course should include at least 1 week (or 2-3 videos) about math so learners can have a better understanding

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4601 - 4625 of 10,000 Reviews for Neural Networks and Deep Learning

By Prakash C

Oct 4, 2019

It's a great course to get started in deep learning which gives all the basic intuitive and mathematical foundation required for learning higher level learning algorithms.

By Nikhil V K

Sep 27, 2019

The Deep Learning course by Andrew Ng sir was great , it gave me a very good intuition of building a L-layered Deep neural network from scratch and the way backprop works.

By Dhruv N

Sep 18, 2019

Excellent demonstration of Neural Networks from the ground up. Breaking down the problem into smaller functions eases the understanding. All concepts are conveyed clearly!

By azeer e

Jul 22, 2019

very good pace, not too deep, not too shallow, it is left to the student to dig further(math) if they are interested, main ideas and structures are well explained. Thanks!

By IK O

Jul 18, 2019

Really excellently explained. Takes students by the hand and guides through fairly complex stuff, providing some good intuition along the way. I can only highly recommend.

By Swastik N

Jul 6, 2019

Truly truly amazing experience, I am now confident to take on any Machine Learning conference as I know the backbones of the algorithms implemented. Thank you Sir Andrew !

By Monica D

May 31, 2019

This course is a great introduction to deep learning mechanisms, and is really useful for starting to develop your own models. Do consider taking the whole specialization.

By Megha S

Sep 11, 2018

This course is very useful and makes one's understanding about Neural Networks a lot better. Would recommend everyone who aspires to get into NN to start with this course.

By Tian B L

Jun 14, 2018

A very good interactive and hands-on way to get experience in building deep neural nets! Would like more derivation and/or techniques on the derivative of multi-layer NNs.

By Mohammed H

May 28, 2018

This was a really fun course! However, I feel that not enough emphasis was given on how the derivatives were obtained, which seems like an important part of deep learning.

By Alberto S

May 8, 2018

Some of the exercises are boring, as all the information is in the text or, for example when computing matrices dimensions, they are shown bellow in the assert statements.

By sh39o

Mar 9, 2018

it provides very fundamental knowledges, from calculus to basic tools of linear algebra, enabling a beginner who prepare for entering the gate of neural network naturally.

By venkatesh n

Jan 17, 2018

Phenomenal course! Kudos to Andrew Ng for creating something that's even better than the ML course. Python programming is much more intuitive than Octave. Highly recommend

By Serdar K

Jan 12, 2018

This is very easy to digest. It is hard to fail the practice tests at the end of the sections. I think I have gained a good understanding of how to build a NN on my own.

By Rui Z

Dec 27, 2017

I found this course deeply interesting and helpful. It is well organized that all pieces of deep learning knowledge are sequentially and logically connected to each other.

By Prasad V L

Nov 5, 2017

Wonderfully designed course,i just want few concepts to be added if possible Andrew Sir:Gradient vanishing issue,

effect of number of hidden layer over gradient vanishing .

By Josiah D

Nov 3, 2017

Great balance of depth and not getting into the weeds. Meticulously designed programming exercises. Thoughtful meditations on how to understand and approach Deep Learning.

By Vitali M

Oct 24, 2017

It was quite challenging to understand the math behind. You will larn to program your own Deep Neural Network. ANdrew is a very good teacher. Highly recommend this course!

By Suresh K

Oct 18, 2017

I enjoyed doing this course immensely. Prof Ng has a unique style of introducing a very complicated content in an easy way. The hands on coding exercise were very helpful.

By Jhonatan d S O

Sep 10, 2017

I would like to thank the organizers of this course for all the effort in making a clear and rich material. I have learned way more than expected! Great job and thank you!

By Kumar V

Sep 10, 2017

The course is really good. It makes your fundamental very strong. The programming exercises are well designed. We can learn how to design the API for our ML projects also.

By ĐĂNG L N H

Jul 10, 2023

i love this course because it helps me understand the basics concept of neural network and it also reminds the knowledge i learnt in Machine Learning specializtion course

By Rizal m M P

Oct 4, 2022

Thank You Andrew NG and the rest of the team for this amazing course. Even highly complex mathematical formulation was explained in a simple manner. Thank You so much...

By Kathy X

Feb 5, 2022

Very well designed course. Right level of challenge and guidance in programming assignments (my favorite part!) Highly recommend for a practical intro to neural networks.

By Carla P

Jan 20, 2022

Es excelente! el datelle como se explica la teoria, la calidad de los prácticos en increíble. Recomiendo 100% hacer este curso porque da una base sólida en deep learning.