XL
5.0Reviewed 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.
Neural Networks and Deep Learning
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.
Status: Artificial Intelligence
Status: Supervised Learning
IntermediateCourse25 hours
Featured reviews
SD
5.0Reviewed Jun 15, 2019
Thank you so for this wonderful course. Thank you Andrew Sir and the entire team. The forum especially is very lively and helpful. Thank you for making my learning experience exciting and brilliant.
YM
5.0Reviewed Dec 18, 2018
The best and simplest neural network course i have come across. Andrew Ng makes the mathematical concepts subtle and understandle. Neural network for me is no longer a black box.Thank you Andrew Ng
KT
5.0Reviewed Apr 4, 2020
I gained a foot hold of Neural networks now. I believe that further taking the specialization could strengthen it. Thanks a lot for a great teaching experience. I was able to finish it in 10 days.
ZR
5.0Reviewed Jan 3, 2020
At first, I want to thank the course teacher and all the others for providing us such a wonderful course. The way the professor teaches is really very very helpful. Thank you all again and keep it up.
MH
5.0Reviewed Jun 29, 2018
Very good course to start Deep learning. But you need to have the basic idea first. I would suggest to do the Stanford Andrew Ng Machine Learning course first and then take this specialization courses
AH
5.0Reviewed Apr 29, 2020
Amazing course, the lecturer breaks makes it very simple and quizzes, assignments were very helpful to ensure your understanding of the content. Hope for future learners you provide code model-answers
JM
5.0Reviewed Nov 27, 2020
I understand forward and backward propagation much better - having done it a lot in the notebooks multiple times. And I have better knowledge of which activation functions to use and when. Thank-you!
PB
4.0Reviewed Aug 20, 2022
Although problems sets are too easy and over simplified, the course has good content, I learned a lot and I have a better intuition now on how NNs work. Best: - Andrew's classes.Worst:- Problem sets
SV
5.0Reviewed Aug 29, 2018
Nothing can get better than this course from Professor Andrew Ng. A must for every Data science enthusiast. Gets you up to speed right from the fundamentals. Thanks a lot for Prof Andrew and his team.
AN
5.0Reviewed Jul 24, 2021
T​he notation and the description of the course materials are way more comprehensible than that of the ML course. I deeply appreciate all the efforts made so that this course could be presented to us.
SA
5.0Reviewed Jan 24, 2021
Lot of courses teach theory and uses python in built libraries. This is the only course learners are encourage to built the algorithm from scratch to gain more understanding of things under the hood.