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

4.9
stars
122,134 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

L

Apr 6, 2019

A bit easy (python wise) but maybe that's just a reflection of personal experience / practice. The contest is easy to digest (week to week) and the intuitions are well thought of in their explanation.

XL

Aug 26, 2017

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.

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5126 - 5150 of 10,000 Reviews for Neural Networks and Deep Learning

By Jorge B

Apr 5, 2019

Great course for introducing into neural networks and deep learning. Extremely detailed video lectures and easy to follow instructions during the whole course

By Regi M

Feb 27, 2019

The highlight of the course is the coverage of basic concepts. It motivate students to review these concepts and to understand the working of these algorithms

By Sai V K S

Jan 17, 2019

The notebooks are amazing. The teaching is simple and in depth. The instructor is top class. Overall this course is a must for every deep learning enthusiast.

By Gunarto S N

Dec 5, 2018

Prof. Ng really explains everything clearly and it really helps me to understand the core concept of the deep learning as well as its mathematical foundation.

By MD S I

Nov 20, 2018

Fantastic course !! Please make it free. Add regular practice problems on weekly basis. Arrange competitions regularly on these kind of problems in this site.

By Pablo C E

Aug 15, 2018

Excelente introducion to Deep Learning Networks! Course is carefully well made! Its a privilege to be able to have a course like this available to me! Thanks!

By Sharath K

Aug 13, 2018

This course was excellent in explaining the internal functioning of Neural Networks. I am looking forward to studying the other courses in the specialization.

By Gothireddy y k

Jun 30, 2018

Andrew's courses are very interesting and the experience is amazing, learning the theoretical aspects while practicing made me realize the completeness in it.

By David O P

Apr 13, 2018

Superb course. It has all the important elements:

-Hands on exercises (and with a very good milestone accomplishment guidance)

-Theory well conveyed

-Expert tips

By Federico H

Feb 4, 2018

Fantastic overview with just about the right amount of hand-holding to make it accessible. The level of repetition is great to let concept gradually sink in.

By Clint I

Oct 3, 2017

Solid and accessible overview of deep learning. Calculus for non-calculus types is made highly accessible. Python examples are challenging but easy to follow.

By Federico D M

Sep 14, 2017

Great course. Andre Ng style is fantastic and his approach and his intuitions into math gives you a great understing of what is happening. Highly recommended.

By Federico B

Sep 3, 2017

Excellent course. The material is super clear adn really good to practice. I think having some general idea on deep learning makes the experience even better.

By Shuvendu R

Aug 18, 2017

Please Give me the option for rate this 10 star

The course is just awesome. Anyone can learn a complex subject like deep learning, Andrew Ng has just proved it

By Martin J

Aug 15, 2017

Great introduction and review for me. Set up to learn the basics of NNs. Programming assignments just hard enough and with suggestions/directions that help.

By Kon M

Jun 21, 2023

Course structure is too good to learn from scratch. I have enjoyed the course and assignments as well. Thankyou for the great course and the supportive team.

By Jakeer H

Jun 10, 2022

The first phase of my jurney into the ML/DL domain has been crved so nicedly that I enjoyed each and every lession, quiz, and assignment. Thank you, Coursera

By Khalid W S D

Aug 12, 2021

informative-well written course, gradually presenting the information and requesting the programming assignment for students to involve in the specialization

By Rodrigo A V A

Jun 21, 2021

Love this course. Finally I understood the basic maths for Deep Learning, thanks a lot Andrew! This was that I need it. Looking forward for your next courses

By jean f D

Feb 10, 2021

This training is so interesting.

The teaching method is bright.

Thank you so much.

A proposal : maybe clarify the dictionaries grads, parameters, and cache...

By Иван А Т

Nov 29, 2020

The best course I have ever had on deep learning. Great and clear explanation without difficult mathematics calculations !!! Andrew NG is the best tutor !!!!

By Lucas S M

Sep 20, 2020

Really easy to follow. I particularly liked the intuition videos, such as questioning what each layer actually "sees" as your model processes the input data.

By Ashok C

Sep 3, 2020

Andrew NG is an absolutely brilliant teacher,and learning machine learning and deep learning concepts from his course has been a really wonderful experience.

By ANKIT M

Jun 28, 2020

The course was exceptional. I learnt how to implement a very deep neural network from scratch.Way of explanation, were also much better.Thanks Andrew ng sir!

By Prasad D

Jun 27, 2020

I have learnt a lot from this course. Andrew Ng have simplified the mathematics behind Neural Networks. Also the exercises related to numpy were very useful.