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

Wonderful lecture, Thank you very much!!!

can you please give us the link to download data !!! sooos

thank you. this was very helpful

This is well explained. Thank you.

not understable .. delete video

Thanks a lot for such excellent explanations

Very clear tutorial on getting started with Lammps. Thanks for sharing!

great 1:00:50 . 37:08 1:25:07 1:26:39

This video is a gold mine

Thanks a lot! This is a masterpiece! It helped me a lot

can you download materials ?

Waw! You are an excellent teacher. I really enjoyed this tutorial and made me develop the confidence to learn Python more... Thank you so much, Sir.