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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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5251 - 5275 of 10,000 Reviews for Neural Networks and Deep Learning

By Ashim M

Sep 27, 2020

Very good for beginners who want to get into deep learning. Focus isnt only on programming Neural networks but also the mathematical derivations behind it.

By Pruthvidhar B

Aug 29, 2020

Prof. Andrew, I have maximum respect for you and your team for making the common man understand computational mathematics and apply accordingly. Thank you!

By Dr. J K

Aug 25, 2020

Good course for beginner and for refresher. Contents are easy to understand and practice. It is recommended as prerequisite to complete the specialisation.

By TRIPTI S

Aug 24, 2020

IT WAS A GREAT COURSE! I AM VERY THANKFUL. YOU SELDOM FIND COURSES THAT BELIEVE TO STRENGTHEN YOUR BASICS AND THIS WAS DEFINITELY ONE OF THEM . THANKYOU!!!

By SNEHITH R D

Jul 18, 2020

Andrew sir is simply amazing . The way he taught me is very good and even he started from the scratch in order to make sure every one is able to understand

By Goutam K J

Jul 5, 2020

Highly informative course, Now I can visualize how a neural network works. The explanation was clear and helped me do the programming exercise without fear

By KUNJAN M

May 31, 2020

Really nice course to learn about Neural networks working and implementation in python from scratch. Really good intuition and foundation of Deep Learning.

By Dishit K

May 28, 2020

The course explained all the fundamentals and details very clearly. I can say that I feel very confident about the concepts that I learnt from this course.

By jorge i r m

May 26, 2020

It is an excellent course for people interested in starting AI. The world is changing. AI is not the future, it is the present. I really liked this course.

By Ashish D

May 24, 2020

Really great Experience to learn new skills from this site and specially prof, He Explained really in great format so every one can understand. Thank prof.

By Yana

May 10, 2020

Super detailed, fulfilling, straightforward and methodic course, that gave a good start for me as a beginner in AI. I really loved the process of studying.

By Muhammad A T

Apr 22, 2020

Excellent course. From Logistic Regression to neural networks and then build Deep Neural Networks. Learn a lot. Thank you for preparing such a nice course.

By Ignacio P F d R

Apr 18, 2020

Explicado de la manera más simple posible a la vez que adquieres los conceptos fundamentales para entender cómo funciona una red neuronal. Muy recomendable

By Azfar M K

Apr 4, 2020

It is a wonderful course covering the fundamentals. I had prior knowledge of deep learning but this course has helped me deeply understand the mathematics.

By Pavan K R K

Mar 8, 2020

The course provides you theoretical knowledge with a practical approach and it's gives you really an interesting way to perceive things in deep learning

By Yohaoa

Feb 15, 2020

编程作业感觉难度太低了,只要稍微听下课,然后代数学的还不错,就能通过注释将代码还原出来,虽然作业能拿满分,虽然原理理解的也还不错,但是只有自己亲手通过编程将理论知识实现实现一遍(非课程后编程练习,而是自己重新实现一遍,可参考课后练习),这样的感受才是最深的,即使这样,也并不能妨碍我认为吴恩达教授讲的非常不错。

By István Z K

Nov 6, 2019

Very nicely structured and presented. I really appreciated the fact that the exercises did not require any unusual python packages and could be run online.

By Eswar B

Oct 29, 2019

This is a great course that teaches you the fundamentals of deep learning from scratch. Come with an empty mind and you will have an amazing journey ahead.

By Dheeraj R A

Oct 19, 2019

I would also like to know how these techniques are invented, like how they ended up using these models. Hopefully I might learn those in the later courses.

By 芃維 陳

Oct 18, 2019

Very clair and the homework doesn't need you to have a pretty good level in maths. However if you want to learn it better, I'll still recommand some maths.

By Sayan B

Sep 8, 2019

I applaud the effort and the teaching style of Dr. Andrew Ng and all the others who contributed in the whole materials. Thank you from the bottom my heart!

By VIKASH K C

May 18, 2019

It was the great course i have ever done , (best for the deep Learning course ) ,

Thanks a lot for sir Andrew Ng , you are god of ML and Deep learning !!!!

By Alexander R M

Apr 14, 2019

Very good introduction into NN and DL with good programming exercises to get started

(requires some background knowledge it programming and linear algebra)

By Pedro F

Mar 18, 2019

Fantastic way to learn in building complex neural networks. Step by step, teach us how to implement layers, activation functions, cost functions and so on.

By 董林滔

Nov 25, 2018

本次Andrew为我们带来了更好的神经网络入门课程,相比于《机器学习》课程,该课程的编程作业和课后选择题的题量更大,且jupyter notebook的作业形式使得学生必须过目所有代码,这加深了学生对于神经网络的理解,且jupyter的交互式特性也使得学生能够更快地得到反馈,有利于更好地掌握python编程。