Step-by-Step Beginners Tutorial: How to Train an Artificial Neural Network with Matlab 

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 is just pure gold. Way better than the professors that I pay thousands of dollars for in college. Thank you so much for sharing your knowledge in such an understandable way.

Many many thanks. I really understood NN from the scratch, thanks for spending time. Your explanation was so straightforward and so understandable. I can say that was one of the best training videos. Thanks again Be safe and healthy

Words cannot describe how relieved I am; your video helped me put together and understand 4 weeks worth of looking into NN for multiple numerical inputs, thank you so very much!!!

Thank you so much I enjoyed the video very well. It is one in a million You are a rare teacher.

Love the way you explain for a newbie like me..

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

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

This video is a gold mine

Very nice piece to undertsand how to build ANN. Thank you!

Thank you so much for the wonderful presentation.

Quite impressive. I have met the right teacher!!

Thanks for this video. It was really helpful for me. Nice and pleasure English language with French accent. Greetings from Poland 🇵🇱

Tahnk you for amazing video...

Thank you for your wonderful presentation It was really helpful

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

Loads of thanks!! This was very descriptive and informative. Please can you do a video on solving a similar problem without using an inbuilt a NN function, but instead using back propagation. This will be really helpful, thanks.

Thanks a lot. This video is quite helpful!!

Wow, It's a very wow helpful tutorial.... Thanks.

Superb explanation, very informative!

That was great. Thank you a lot. 🙏

Thank you sir 🙏🙏 .. you're my saviour ✌

Thanks a lot for such excellent explanations

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

You Are EXCELLENT, Thank You

Thanks for the video, it helped me alot

great video, looking forward one for custom NN

Thanks a lot, it do help me to understand how to make it work by using Matlab

Very helpful video, thank you

Hi, this is a great video. May I know how we can extract the predicted data points in the form of a table?

Many thanks, for Sharing this

Very good. thank you for vodeo training. i neaded this is eduction. thankes thanks:)

You are hero. Thank you so much

Though without the data file it is hard to follow, the explanation was great.

Thank you so much, I have a problem in validation, Matlab says (Reference to non-existent field 'ValInd') with all validation formulate

Many Thanks for this video. Can you please share with us the CSV file of the data set ?

wow, it's very helpful tutorial

Sir, it is really worth to watch this video, specially for ANN how it works in different scenario with various hidden layers, thank you for sharing your knowledge. where I will get data set for fire to check with different scenario

Hi sir, thank you so much for the informative video! However, I would like to ask how to fix the weights and biases once we determined the best representable model for the dataset? And is there a way to use this ANN model as fitness function of Genetic Algorithm? Hope for sir's reply. Really appreciate it, thank you.

Excellent.

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?

I fell asleep a few times during your class, but the ANN is clearly introduced and performed anyway.

Thank you very much 👍👍👍

Thank you so much for detailed video. It was really helpful in understanding whole code. As a beginner in MATLAB NN it really helped me.

hello, nice and great presentation My Question is that: Why wasn't the output (y) initially normalized?

It's awesome... Thank you so very much for this amazing video... I was searching for such a content for a long time... Thank you for making it simple and easy...

Hi, thanks for the explanation but there are ways to understand: - how many hidden layers and how many hidden neurons to use? - network type, traning fuction, adption learning fuction, performance fuction and transfer fuction? thank u so much

I am doing research work on optimization using ANN using three parameters with three levels(L9 orthogonal array) with a single response/output, please help me how to get the optimum parameters

Thank you , thank you from the bottom of my heart. That really helped me. You are genius. Your detailed explanation for every step waaw. May I ask you that you do an example using " RNN " please :) Again my sincere appreciation for the effort placed in that video. God bless you

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

I hope I am not asking too much, but would it be possible to share the dataset? Then I would have performed the tasks as shown in the video. For a beginner, it would be of great help.

can you please show how to predict using this ANN model

Thank you very much for doing this. However, I have one question for you. In MATLAB, if you use fitnet it automatically normalizes the data using mapminmax, basically both input and target. In that case, i feel, you normalize it twice. Can you please respond? Thanks again

thank you for informative video, it is very helpful. but i have question, after modeling how can we use the model? is it possible to export the model we made? . what fuction should i use to use the model we made?

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

However, I have no negative value in my output, after training the NN I get a negative value, can you please help, how can I avoid getting negative values? I have tried using the sigmoid function, it did not work.

Thank You for the simple explanation. Can You share the csv file please

Can MAPE (Mean Absolute Percentage Error) use instead of RMSE?

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

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.

How to optimize an Ann with genetics algorithms in matlab

How to save the NN after its creation; hw to use it later on for ex for cross-validation

Sir what if output is a string how can i pass that as an argument

Very thank you. Can you please share the CSV file and the code.

good job

i have a problem in understanding the reversing of the normalisation (of input data) automatically done by Matlab. I have followed the steps discribed in matworks.com website but it does not works (the analytial function is to far than the value evaluated by net(..)). if you can help me, this is my code: entree=xlsread('O:\stage\database1_sans_considere.xlsx',4); % size=[24960 8] sortie=xlsread('O:\stage\database1_sans_considere.xlsx',5); % size=[24960 1] n=6 ; net=fitnet(n); [net,TR]=train(net,entree',sortie'); %evaluation of the analytical function x=[ 1100 , 1155 , 10 , 1 , 0 , 0.7 , 343.7508 , 1.00017 ]; b1 = net.b {1}; b2 = net.b {2}; IW = net.IW {1,1}; LW = net.LW {2,1}; a1=IW*x'+b1; y=purelin(LW*(tansig(a1))+b2); % comparison with net(x')~ 10.37 error=abs(net(x')-y);

Sir, based on which method/algorithm dataset output calculated...by fusing the data like temp/wind and humidity

How do you set the other Hyperparameters of ANN? For example: Learning rate type, Initial learning rate or Solver type?

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

Thank you so much for such an informative video.... Can someone kindly help me to know why there is no data set for test set...?? Does this effect the overall optimization

This is nice and detailed tutorial, thanks. But how can we apply the trained Ann model for the same input data but different time periods (it could be future period)?

Thank you. Can you please share the CSV file. It will be easy for us to follow the tutorial.

Great tutorial! The demonstration is super clear and well organized. One question though - at 1:02:40, you mentioned ideally the same model need to be trained several times to get more accurate results; but I thought each run is independent of one another, so why should we expect better results (or smaller RMSEs) with more runs? And how should the results be reported if each run gives a different set of RMSEs? Thank you.

thanks a lot PARISlab@UCLA recently i just started to learn about ANN. it was really cool video. Could you give me the CSV file? i'd like to do this tutorial

Hi I am getting an error in the main code “Target T is complex”

Excellent tutorial sir, thank you so much. what are the other ways of normalizing the data ? without using log function .

Thank you very much for this amazing video. Please, how we can find the final optimized values of biais bi and weights wi and the final analytical model (prediction function) using Matlab?

how to use "fitnet" in octave...?

says "Unable to perform assignment because the indices on the left side are not compatible with the size of the right side." when ı try to find rmse in the loop

Thank you for sharing the tutorial, it would be nice for us to have CVS file to use the same codes using our computers. Can you please share it also?

Can i still follow this if i have 2 output?

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

sir can you make vblog on fault tolerant control system?

32:34 neural network explanation

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 .

guys,how can you get the csv. ?

merci matthieu, tu merite une biere

Does anyone have the m-file of this lesson?

can you share the CSV file for us?

La France représente !

Can u provide data set?

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

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

please share the CSV file and relative code

May be i am blind coz i dont see the dataset

permissio to learn sir

can you share us the data

[fs,history]=sequentialfs(classf,X_train,y_train,'cv',c,'options',opts,'nfeatures',2); What is the error in this line ? Can anyone help to figure it out?

how to add 2 or more inputs to the ANN model?

Its the same plot, you used de same plot to 7 neurons to 1 neuron