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

4.9
stars
122,502 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

NL

Oct 3, 2020

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

MG

Jul 28, 2020

Pretty well organized with really helpful examples and assignment especially. Definitely made the basis for deep learning algorithms. Looking forward to the next modules and dive deep in this domain.

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4926 - 4950 of 10,000 Reviews for Neural Networks and Deep Learning

By 王成桥

Jun 30, 2019

Great course, learned more than i expected.

Wish to learn more about applications in the industry, maybe introduce a little bit of real cases and provide some links

By Weenit M

Jun 3, 2019

This course helped me visualize the inner working and math behind Neural Network. I would definitely recommend this course to get the intuition of Neural Networks.

By Mamoon M

May 29, 2019

The course provided a very good basic background of Linear regression, deep learning and neural networks. I am motivated to finish the remaining 4 courses as well.

By Guru C B

May 24, 2019

Excellent course with correct programming exercises. Plan to do all Week 3 and Week 4 exercises inclusive of coding own utility functions. Enrolling second course.

By Gaurav G

Apr 29, 2019

I am very happy after watching all the lectures and also understand the basic concepts while programming. This is a worthy course for acquiring the deep knowledge.

By Nicolas D

Mar 3, 2019

Really good introduction ! After having followed the Machine Learning introduction however few things looked like déjà-vu but it was not useless to learn them back

By Andrei K

Dec 4, 2018

Very good and very useful! This course helped me to improve my understanding of neural networks and improve knowledge and organize materials in my mind. Thank you!

By 笑宇 孙

Oct 2, 2018

Great course as usual! Clear and friendly to all public. It helps you to build your intuition, which I think is very important in all subjects. Highly recommanded!

By Sonja J

Jul 18, 2018

Good introduction to concepts of deep learning. Quizzes are helpful, and coding assignments give thorough instructions and set you up for well-decomposed programs.

By Vandan P

Jul 15, 2018

One of the best courses I have ever done. The videos are very nicely made and the programming assignment cover all the concepts covered in the lessons beautifully.

By Laure G

Jun 24, 2018

Un cours très didactique avec une progression pas à pas. Les exercices sont guidés. Il est bon de les regarder ensuite dans leur ensemble pour bien les comprendre.

By Luis A

Apr 27, 2018

Excelente, muestra de manera practica, didáctica y metódica como se define y se realiza una red neural para reconocimiento de imágenes, gracias por el aprendizaje.

By Philip C

Apr 8, 2018

It is the best class to take you have basic machine learning knowledge and python programming experience.

It is especially good for those who have a full-time job.

By Qi L

Apr 7, 2018

Very detail derivations and directly explain many concerns I have about deep learning. A excellent part is the programming tips to develop deep learning algorithms

By Jialin Y

Mar 23, 2018

very detailed materials and lectures are easy to understood. I would recommend study with the cs230 from Stanford which is the more advanced version of this course

By Shifeng X

Mar 13, 2018

very good course. the programming assignment is actually teaching me how to do the programming, not only focusing on grading my result. excellent lecturer, thanks!

By TITASH M

Feb 27, 2018

I really enjoyed how simple the explanations were and the programming assignments helped me understand the material better. Really helpful for any interviews also.

By Trace L

Feb 19, 2018

Terrific course! Andrew Ng is a great lecturer, making concepts clear and concise. The notation in this course is also vastly improved over the original ML course.

By Alonso L

Feb 2, 2018

It is an excellent course for start with neural networks and deep learning. And it also helps better understand machine learning concepts like logistic regression.

By Frank H

Oct 27, 2017

A nice hands-on introduction to neural networks and first steps into deep learning. I liked that very much and look forward to what comes in the subsequent course.

By Greg L

Sep 26, 2017

I went from having a good theoretical intuition about how deep networks should work to direct knowledge about how to implement one. Amazing class, thank you!! :)

By Omar Y A

Sep 2, 2017

A great introduction to deep learning, I would have liked more mathematics involved, but I understand why it was necessary to cut back on math. Highly recommended!

By Maaz S

Aug 26, 2017

Phenomenal course by Professor Andrew Ng. The concepts are throughly explained and the assignments are extremely engaging.

Thanks for offering this specialization!

By Caio V

Aug 23, 2017

I would like to thanks Andrew and all people involved in this course for all the effort they put in this course. I have learned a lot and had great time as well.

By Samuel T J

Jun 11, 2024

The explanation builds up over time, that's what I love about this course. I was frightened of this very topic, because other courses didn't explain it like this.