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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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5176 - 5200 of 10,000 Reviews for Neural Networks and Deep Learning

By Xu Y

Oct 25, 2017

这是一门很棒的深度学习课程,清楚的讲解了深度学习领域的数学原理,我跟随课程完成了一些练习,实现了利用神经网络识别一张图片里的图像是否是猫咪。在这门课程中,所有你遇到的难以理解的问题都能在后续章节里得到完美的解释与理解。非常感谢这门课程给我带来的提升与收获,我想这门课程推荐给了我的同学,他们正在学习,并且非常满意。

By Jack Q

Oct 19, 2017

Andrew is a pretty good instructor to convey key points in quite clear expression. This course made me easy to understand why NN is a powerful model. Thanks.

By erick m

Oct 13, 2017

Very good pace I really love it, I had some time that I couldn't study because of work but it gave me a couple of days to finish which make's it more awesome

By Dave D

Oct 5, 2017

Excellent short course on Neural Nets. Building 2 and L layer nets in a Python notebook using just NumPy helps develop a solid understanding of the material.

By vivek k

Sep 17, 2017

Wonderful course! Prof Ng has produced a great content and for people starting in the field, he has shown impressive example of implementing code modularity!

By Vito D

Sep 15, 2017

Great introduction to neural networks and deep learning. Covers all the key concepts and I found the interviews to be a very helpful supplement to add depth.

By Max M T

Sep 7, 2017

As usual it is difficult to get upset by Andrew Ng classes. I'd like a deeper math explanation even tough resources are offered . You will enjoy this course!

By Martin W

Aug 26, 2017

Very well explained :) I always was afraid of the math behind deep learning, but its really nice explained and often reviewed with the assignments.

Great job!

By Abhay G

Aug 14, 2017

The best part of this course is the simple and easy to learn technique with which I was able to implement a deep learning model of my own for the first time.

By Chuji O

Sep 26, 2023

I consider this to be the best Deep Learning course out there. Expect to invest several hours of work and understand that every hour spent will be worth it.

By Hưng P

Sep 14, 2023

Thanks Andrew and all collaborators for the supporting, dedicate hard-working to create awesome course. Hope a lot of course will be released in the future.

By Mohamad A

Dec 29, 2022

It's not easy and for sure requires prior knowledge in ML and Math, but great and very helpful content, smooth and clear explanation by Andrew. Recommended!

By Syed H A

Dec 17, 2022

Amazing Course with detailed videos, interactive assignments and challenging quizzes.

I Highly recommend this course to anyone starting out in Deep learning.

By Chanh D P

Dec 7, 2022

Good depth for the first course. The Math could be deeper but satisfactory for the introduction. The programming assignments are well designed for learning.

By Darsh K

Jul 17, 2022

Neural Networks and Deep Learning is a perfect course for any individual who wants to be acquainted with the notion of AI in the field of image classifying!

By aman s

Jun 9, 2022

This course helps me to improve my knowledge of the basics of neural networks. After completing every topic got assignments to improve my coding efficiency.

By Murat B

Apr 1, 2022

Great course. Both curriculum and the way Andrew Ng teaching is amazing. I highly suggest taking this course if you want to start learning neural networks.

By Aman A

Feb 27, 2022

Andrew's teaching is just Awesome. Well-made course. Some extra recommended problems that can be solved for the topic, if listed, can be a bit more helpful.

By Shuo H

Dec 22, 2021

I learned the mathematical principles and programming methods for deep learning. The course is not very difficult, and Dr. Ng explains knowledge thoroughly.

By Guilherme B

Sep 27, 2021

Aulas teóricas com Andrew excepcionais e exercícios de programação muito intuitivos, realmente ensinando a construir uma arquitetura de rede neural do zero.

By Tran Q L

Aug 20, 2021

This course is amazing, guidance is very clear. With basic math and some prior knowledge of machine learning and ANN, I progress with not many difficulties.

By Camilo G

Mar 16, 2021

Excelente curso, muy buena explicación de las bases matemáticas. Recomendado para los que quieran aprender a profundidad como funcionan las redes neuronales

By Alessandro L

Feb 27, 2021

This course gives really good undestandi of the basics of Neural Nets and deep NN. Fourth week include some weaker lessons but the professor is really good.

By Álvaro C

Dec 3, 2020

Very powerful course, you will learn al the basics of deep learning with examples from a single neuron to a complex grid with the number of layers you want!

By San-Wen C

Nov 5, 2020

This course is a great start for understanding the basic concepts of NN and DL. A lot of application to go, but always good to understand the theory behind.