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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

SB

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I am a student majoring in AI and ML. This course helped me to solidify my understanding of how NNs work. The course content was in-depth and comprehensive and the quiz and assignments were fun to do.

AG

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I understand all those thing which you have discussed in this course and I also like the way first tell story of concet and assign assignment. Now I fall in love with neural network and deep learning.

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5201 - 5225 of 10,000 Reviews for Neural Networks and Deep Learning

By Shivam G

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Jun 7, 2020

By this course, my practical and theoretical concept cleared. This is the best course to know about the neural network, how it works, and other things also.

By Priyanshi P

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Jun 4, 2020

The course provides a detailed explanation of a deep neural network and provides hands-on experience on coding one step by step from scratch. Learned a lot!

By Omprakash S

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Apr 29, 2020

This was my first course in Coursera and it is really very great course. Sir has thought each and every thing from very basic and had cleared every concept.

By Gaurav J

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Apr 27, 2020

It's a wonderful course. Perfectly designed course lectures, quizzes and assignments makes it a must for each machine learning and deep learning enthusiast.

By Jonathan M

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Apr 25, 2020

I was only vaguely familiar with much of the math heading into this course, and now feel like I have an intuitive grasp of how it works. Great intro course.

By Ayon P

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Apr 24, 2020

My first course in coursera.Really impressed by teaching style and organized teaching methodology.Programming assignment are very helpful to learn in depth.

By Santiago A A

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Apr 10, 2020

Really interesting introductory course and illustrative examples. As usual, Andrew Ng makes it really simple to understand ML and Neural Networks. Congrats!

By VVS

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Mar 14, 2020

Andrew Ng's unique style of teaching made me explore deep learning with much more enthusiasm. I am hooked to this specialization till I finish all of them.

By Manju M

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Feb 22, 2020

The course is very well structured and explains the core concepts of the Neural Network. The content in the course is engaging and offers ample of learning.

By Kevin C

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Dec 18, 2019

It's wonderful that we have the opportunity to develop the neural networks from scratch. Andrew Ng did an excellent job making this seamless and bite-sized.

By Somashekhar H

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Oct 6, 2019

The Course is well thought and very well planned.Contents are very good and give more intuition to advance in my machine learning process and master in it..

By Mahmoud S E

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Oct 4, 2019

The course work are excellent( projects and assignments).

The videos doesn't start from zero knowledge in ML. It's better if you have little basics about ML.

By Jonathan S

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Sep 16, 2019

I find this topic very exciting and interesting and I felt that the course did a great job explaining it in a real and practical way. Keep up the good work!

By daniel d

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Sep 4, 2019

Great course, I can check if a picture is a cat or not so easy, the implementation was a kind of a lot of things but in the practice step by step was great.

By Bach T T

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Jan 29, 2019

It's great because I can build an artificial neural network to classify photos. I will have to practice more to get more experience with it. Thanks coursera

By SURAJ T

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Nov 20, 2018

The course was really very intuitive about neural networks and their application. However I'm still confused with the formulas used in backward propagation.

By Harold M

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Oct 20, 2018

An Excellent and a complete course on Neural Networks and Deep Learning. The math in this course is very interesting and the professor is awesome!

Thank you!

By Raghuvansh R

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Sep 22, 2018

I really loved this course. Course structure is well organized along with the programming assignment help us to gain much intuition of the theoretical part.

By roshan h

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Jun 27, 2018

Its a great foundational course to head start deep learning in python. Covers everything and most notably its practical and applied rather than just theory.

By Cardale G

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Jun 4, 2018

Really great course. Even if you have taken other courses for neural networks I still think you would get something out of it as I have. Thanks Andrew Ng.

By Huong H

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May 26, 2018

The course is awesome! The lectures, quizzes, and assignments are really good in helping me to get first understanding on neural networks and deep learning.

By Ravi J

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Feb 10, 2018

It was a very amazing course and the programming assignments added a lot to the theoretical knowledge. it was just an amazing experience learning andrew ng.

By Shreyas

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Dec 10, 2017

Brilliant. As usual, Prof. Ng is outstanding and teaches things from first principles that makes sure you are conceptually clear on whatever that is taught.

By Alexandra L

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Nov 29, 2017

Well structured and explained. I had to learn Python as well, but I could manage both.

Practical examples helped me to understand better how to apply theory.

By Sriram K

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Oct 4, 2017

This is my first course in machine learning. Professor Andrew is brilliant. The assignments were well structured and helpful in understanding core concepts.