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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.

MH

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Very good course to start Deep learning. But you need to have the basic idea first. I would suggest to do the Stanford Andrew Ng Machine Learning course first and then take this specialization courses

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5051 - 5075 of 10,000 Reviews for Neural Networks and Deep Learning

By Mile D

Aug 17, 2018

Absolute amazing the way you teach! Without all these courses I wouldn't know how to study this topic without paying plenty of money. I am so grateful to you!!!

By Joe M

Aug 13, 2018

Plenty of detail and explanations of not only how buy why various things work the way they do. Guest interview videos were fun and inspirational too. Excellent!

By Yong H P

Jul 25, 2018

Very concise and good introduction to deep learning and valuable starting point. I really enjoyed this course.

쉽게 잘 정리된 내용과 좋은 정보들로 구성된 코스 입니다. 정말 재미있는 시간 이었습니다.

By Anindha P

May 24, 2018

Great content. The online notebooks are a bit finicky to use. Make sure you save regularly. If save fails then you should close your browser tab and open again.

By Gary W

May 14, 2018

Thanks Andrew and your team for providing this course. I have learned much from it and have more energy to jump into AI industry. I like this serial of classes!

By Pat

Apr 15, 2018

This course not only teaches you NN and DNN but also teaches you writing python and once you understand the complexity of the theory it makes you a NN champion.

By joanna

Jan 1, 2018

Great course, hands-on assignment help you get rid of the learning curve! though sometimes the math is really dry, you just need to stay focused and keep going!

By David D

Dec 3, 2017

Excellent course, giving a clear picture of the fundamental principles behind deep learning. Also includes enough practical elements to make the material stick.

By Joseph D

Dec 2, 2017

Excellent review of neural net fundamentals. Professor Ng has refined his algorithms and presented them in Python (I first encountered them as Matlab scripts.)

By Marcel-Jan K

Nov 22, 2017

I knew a lot already from the Machine Learning course, but I'm glad there is an update now. Jupyter as environment for the programming assignments is great BTW.

By Dave P

Aug 29, 2017

This was a great course. I love Andrew's style and thoroughness. Extremely well put together. Definitely a must for all those interested in machine learning.

By Mingyang L

Aug 29, 2017

This course is very fun and practical. I like the hands-on work professor Andrew Ng explained and we tried ourselves. The interviews are especially interesting.

By Agnis A

Aug 24, 2017

A great introduction in neural nets! Looking forward to the continuation and can't wait to use the knowledge in practice. Best wishes and keep up the good work!

By hervind

Aug 13, 2017

Andrew Ng is awesome, the way you speak, the curriculum constructed and soon . love that programming exercise in ipython notebook.

Looking forward to next course

By Bitan M

Mar 18, 2023

The curriculam was awesome. Special thanks to the Instructor Mr. Andrew NG for clearing such a complex topic so easily. The course content was well structured.

By Mahesh S

May 1, 2022

This is a nice course for deep learning. I am studying deep learning as my elective subject at my final semester of my B.E degree. This course helped me a lot.

By 조정래

Nov 20, 2021

Every test was very clear, i.e. every code required specific input and output specs. And explanation of L-layer neural network and its notations was very nice.

By Nestor I O G

Mar 27, 2021

excellent course with the basics of neural networks, I could learn to program a deep neural network without the use of libraries, step by step, it is so useful

By Shadab A

Jan 26, 2021

A great course to introduce learners to the backstage of Neural Networks. It should also offer more mathematical rigor (optional) along with the other content.

By Roopesh R

Dec 21, 2020

Great Material, awesome presentation. Loved the coding assignments, a little less on Math, I would have preferred a more mathematical treatment of the subject.

By Muzahidul A

Sep 6, 2020

materials are more than enough. exercises were tough but most of the graded functions were explained more than a learner needs. it made the assignments easier.

By Romana M A S B

Sep 2, 2020

I couldn't be more grateful for this course. Andrew Ng is exceptionally good at explaining the difficult concepts of DL and makes the subject fun and exciting.

By Vatsal B

Aug 18, 2020

An amazing course on neural networks and deep learning even for beginners it's a very good course. Each and every topic is being explained briefly and clearly.

By April T

Jul 19, 2020

I love this course. The instructor explains each step in a very clear way and I can implement the algorithms step by step with instructions. Feels pretty well!

By Daniel A R M

Jun 27, 2020

El curso es muy enriquecedor y tiene un ritmo adecuado de aprendizaje, incluso para aquellas personas que no tienen conocimientos profundos sobre programacion.