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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

SS

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Fantastic introduction to deep NNs starting from the shallow case of logistic regression and generalizing across multiple layers. The material is very well structured and Dr. Ng is an amazing teacher.

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.

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3826 - 3850 of 10,000 Reviews for Neural Networks and Deep Learning

By Xiao H

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Feb 15, 2018

it's a great course. I like the interview part very much. By talking with actual researchers, I get to know more about their ideas and thinking, it's a good supplement of their papers or reaches

By Satyanarayana V

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Jan 27, 2018

An excellent way to know Deep Learning theory and practice with programming templates to solve real world problems. Now I'm very confident about applying these solutions to my own problem space.

By William L

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Dec 30, 2017

Great introductory class on coding up your own L-layer neural network. I thought the assignments might have been a tad on the hand-holding side, but perhaps that is necessary for a first course.

By Nagamalla T

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Dec 29, 2017

This course gave really good understanding of what a neural network is and also it was really confidence boosting to implement a network from scratch giving a through knowledge of the processes.

By Abhilash K

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Dec 27, 2017

I expected the assignments to be a bit tougher. They are more of spoon feeding. But it will really be helpful for amateurs in machine learning. Overall the course and the material was excellent.

By Gogul I

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Dec 27, 2017

This is the best ever course on Deep Neural Nets I have taken so far. Programming assignments with math made perfect sense on how to use numpy and python to build neural nets. Thank you so much!

By Hoonjae L

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Nov 14, 2017

It is very helpful even if you already know about linear algebra and some mathematics. The course is simple and you can get an intuition about Deep Learning. I am looking forward to next course.

By Shravan K P

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Oct 27, 2017

Navigating through course materials could be made better!

Guess we need to apply ML algorithms to find which user likes what type of navigation, based on the courses he is taking and continuing!!

By Pierre S

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Oct 8, 2017

Great Course, very well balanced. I discovered how Python and numpy were well suited for Neural Network computing. Sure thing that I'll follow the others Courses of the learning path. Thank You.

By Nikhil B A

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Sep 18, 2017

Thank you, Andrew! The most important topics have been covered in a concise manner. I have seen many other tutorials on NN & DL, but this course simplifies the mathematics for you. Great course!

By Ohnmar H

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Sep 16, 2017

I would like to upgrade my knowledge and skills from traditional ML to Deep ML, therefore I have taken this course. Thanks to Prof. Andrew Ng and group for their knowledge sharing great efforts.

By Pedro

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Aug 31, 2017

Andrew Ng has done something amazing, in terms of quality of the content and simplicity for explanation. integration of juyter notebooks for programming assignments allows to acelerate learning.

By Edisson R

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Aug 20, 2017

:) Really Good DeepLearnign Course, I like the way Ng explained the math. I gives you a good intuition of the why of Neural Networks which mostly everyone fails at it. completely recommended it!

By Enrique G L

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Aug 18, 2017

I really enjoyed taking this course. It covers very well the "foundational" blocks of NN. Also, I found the programming exercises quite enjoyable and hands on.

Looking forward to the next courses

By David R D

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Aug 16, 2017

Brilliant!! can't thank Andrew Ng and Coursera enough for coming up with this course. Builds the concept step by step and make you understand the tough concepts in a easy way. double thumbs up!!

By Johnny ( Y W

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Aug 15, 2017

This course is somewhat similar to the Machine Learning course taught by Andrew Ng with the exception that this course dives 'deep'er into application, vectorization and mathematical background.

By Malaka G

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Apr 8, 2023

Very good course for starting to learn neural networks. We can learn all of the basic techniques and information from this. All things are clearly explained. Thank you fro this amazing course.

By Dhruv S

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Nov 7, 2022

The course is well structured and the basic knowledge regarding neural networks and DL is given in a very simple and detailed way, so that one can get a good amount of introductory knowledge

By 黃冠倫

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Sep 23, 2021

The best way to learn a neuron network is to implement one by your hand. This course provides with nice step-by-step guidelines for students to have a descent understanding of a neuron network.

By Farnaz

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Mar 8, 2021

A great course. Every concept is explained in detail and you do not need an instructor to ask questions.

Labs are great. You can implement a neural network model step by step with provided tips.

By Yi L

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Mar 4, 2021

The mathematical derivation process is not complicated, but the description is too long. Hope to see a more standardized and more concise mathematical derivation process instead of python code.

By Mohammad A S

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Oct 29, 2020

The course started off from the very basic neural net and introduction of deep learning and gradually ended at a deep neural net which made it easier as it kept expanding on previous knowledge!

By Abhishek M

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Aug 15, 2020

One of the most clear and complete courses Ive ever done. Prof. Andrew's manages explains the theoretical and mathematical aspects very well along with maintaining practicality and application.

By BRAYAN Z

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Jul 19, 2020

Curso my bueno, con fundamentos claros de como se deben aprender a dar los primeros pasos en el mundo de las Redes neuronales, claro y consisos, bueno temas de programacion y facil de aprender.

By Jorge R

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Jun 9, 2020

Loved it unqualifiedly. Professor Ng's lectures were clear and easy to understand and the assignments were exactly the level that was required. I recommend this course without any reservations.