Chevron Left
Back to Neural Networks and Deep Learning

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.

Filter by:

5151 - 5175 of 10,000 Reviews for Neural Networks and Deep Learning

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.

By Ayush G

Jun 2, 2020

Amazing course on Neural Networks for beginners. Explaining theory first and then the programming assignments for applying that knowledge are simply awesome.

By antonio b

May 28, 2020

Andrew Ng is really a good teacher and practitioners. Enjoy and looking forward to the next courses and books about NN. Great ideas are also coming along ..

By Osvaldo R

May 18, 2020

All math formulations are well explained! Easy to follow, most important topics are covered, no need to look for extra material to understand the algorithms.

By Ayushman K

Apr 2, 2020

This course is the best course on internet... I loved this course. I learnt a lot. Thank you Coursera, DeepLearning.ai and Andrew Ng for this amazing course.

By Alaa H S

Feb 25, 2020

Mr.Andrew NG explains in a distinct way and perfectly simplifies ideas, and I want thank him so much,and appreciation for his effort. with my respect Alaa S.

By Pree R

Feb 14, 2020

this is a great course which explains in-depth the workings of a neural network , its highly useful for anyone looking to start a career in data science & AI

By Prakhya S

Feb 5, 2020

The entire course is explained in simple language and is easy to understand. I am completely new to deep learning and would definitely recommend this course.

By Vibhutesh K S

Sep 25, 2019

It was a really interesting and easy course. Machine Learning/Data Science being called Electricity of the modern world have really made a mark in the start!

By Jose P

Sep 14, 2019

Lectures have been superbly planned. Time spent by key ideas conveyed is very optimal. Non-technical remarks were spot-on, added useful colour to the topics.

By Roshni T

Sep 9, 2019

If you have no knowledge at all in AI and how things work, this is the best course to grab first. All you need is courage and a little bit of linear algebra.

By Shrey G

May 5, 2019

Assignments could have been made more difficult and in depth coding sessions would be helpful. Also session on using plotting libraries in Python would help.

By Guangchen X

Mar 24, 2019

This is an awesome course! I would highly recommend it to anyone who's interested in DL. Andrew did very well in considering all the details for this course.

By Jose F P P

Jan 21, 2019

This course give me more confidence with deeplearning concepts and also help me to understand what is behind the forward and backward propagation algorithms.

By Sherif M

Dec 14, 2018

Great introduction to neural networks. You need some basic math skills especially in calculus and linear algebra although it is possible to skip these parts.

By Sanwal Y

Oct 16, 2018

Great Intro courser to get the intuition behind the workings of Neural Networks and Deep Learning. I am excited to do the next courses to see where I end up.

By Elmer P

Sep 30, 2018

The course is a must for those who really want to understand how neural networks work. This is by far the best entry point for going deep with deep learning.

By Subrata S

Jul 9, 2018

Very informative and well designed course. A must for all beginners or for someone who wants to go over the basics again. I like the programming assignments.

By Kangrui R

Jun 17, 2018

It extremely satisfies my needs. This course has taught me how a framework works and how we could develop a artificial neural network in Python by ourselves.

By Mark D

Mar 25, 2018

Remove the concerns of my ancient days of Calculus. A kinder-gentle approach to Calculus. Also the basics of implementation of Neural Nets/backpropagation.