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amazing lecture!

Very well explain

thank you

Write better

Excellent video. Everything you need to get the ball rolling with NNs in Matlab. Would be ideal to see the backpropagation algorithm in motion ("train" function) - but that's a matlab issue - a bit of a black box, you cant really see what their built-in functions are doing.

great explanation! God bless you, Mat!

Impressive that Prairie Material reduced their GWP by 20%! AI is a cool tool, good job!

Hi there! I wanted to simulate borosilicate glass with uranium and plutonium inside it to see behaviour of uranium and plutonium on LAMMPS software for my project nuclear waste management ....i'm beginner on LAMMPS can you please help me? please reply as soon as possible.....

The best instruction on ANN using Matlab, it really help with my research

I just finished watching this short course. Indeed, this is a start to finish of the machine learning concept. "Introduction" is an understatement. Thank you very much Dr. This is indeed helpful. I still wonder why it has only 11k views since 2 years ago. This is a revelation!!

Thanks a lot professor for making this video. A very insightful video and presented in a systematic manner.

Thank you for this amazing video! It was the clearest instructions for a newbie on how to work with a grid engine on Terminal. Your video saved me hours of trial and error and reading user manuals that aren't intuitive. Much appreciated, even 6 years later.

I will appreciate if you can perform optimization to get the optimal number of hidden layers as you did for neurons.

Excellent explanation indeed!. Each step clearly explained. I'm a novice in the field of AI & ML. I could develop similar model using this explanation, without tampering much with either the name of the column headers or with the number of columns. However, after successfully developing the model, I got this question as to why the readily available ANN app in MATLAB was not used for developing the model or solve it. Can anyone clear my doubt please?

Hi, thanks, great video, where could we find the initial data ?

Can someone please share this code file in csv,txt,or matlab format anytype of file format would be great help for understanding the concept .

Thank you for this amazing information I am planning to do my certificate in machine learning for materials science and engineering but I found a lots can you please let us know which university provide very good certificate program Note: I already have my master degree in materials Engineering back home before moving to USA

I can sit and listen to you for ages 🤗

I can’t thank you enough for this wonderful masterpiece. I was developing an ANN for engine net brake torque estimation ( this info is required for Transmission Control unit) for gear shift quality. I learned from the best 🙇‍♂️ ❤

This introduction is concise and clear!!! Thumb up !!!

wonderful

Merci beaucoup cher Mathieu! You're the best keep it up bro

im getting the lost atoms error. can you help please?

How can I impose an external field?

Hi, instead of 0 and 1, the classes were colours e,g red and purple how will that change the code?

merci matthieu, tu merite une biere

Thank you for the video, it would have been also interesting to explain how using bins and sorting the atoms according to those enables lower computational costs.

Sir, searching for such kind of start and you are insanely great.

Thank you very much for the course, which is very informative for me as a beginner.

permission to learn sir. thank you

I need immediate help, i got stucked in the part of optimizing the neural network 56:00. It told me that the size in the left and right have different number of elements. To give a headstart, I have 3 outputs. What should i edit in the upper part of codes for it to work? The video only explained a one output model but mine's 3

Man i really want to thank you for your precious job. No video out there about feedforward regression problem with fitnet, good job

1:18:01 summarize

I finished watching all in two days. It was really nice. Especially introducing the concept of using the model in materials taking example of glass was the most important aspect of this video. Overall a nice and clear explanation. Thank you so much Dr. Mathieu. I wanted to know how far you have gone in using machine learning and AI in materials science. I set up my ultimate goal in addressing materials science using machine learning and AI. I am a physics graduate. I hope to learn more from you. Thank you.

Insanely good !!!

La France représente !

Thanks How to get reading 📖 materials.

Thank you, Prof. Is it convenient for you to share the training and testing data used in this example?

Speak louder

Thanks for this explanation. really helped

Thanks for the videos. Sir, would love to read more papers from your group. Kindly share your profile information ( any sources that contain all your papers) as i do not have access to all the papers. Thanks in advance

i'm sorry but your handwriting is awful

Is the m-file script and data file available to download?

First of all thank you very much for this video. It really helps me alot. Could you please clear my one doubt? like how should i change the activation function to ReLu in MATLAB.

Very useful video, teaches the theory behind the simulation with so much ease

How to get the matrix if I put my matrix don't come to the Matlab

thanks a lot! really worthy & helpful vedio to understand ANN from scratch!!

how to get or prepare potential data file for a specific compound like NaCl???????????

Sir, I can use the same code for bearing fault classification.

Super