Hey there!

There are a few easy ways you can reach me if you ever need anything or just want to say hi.

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matthew.h.mazur [at] gmail.com

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Hey there!

There are a few easy ways you can reach me if you ever need anything or just want to say hi.

**Email**

matthew.h.mazur [at] gmail.com

**Twitter**

**Skype**

m.h.mazur

**LinkedIn**

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Thank you so much, I can’t understand back propagation algorithm before read your article.

I seriously can’t thank you enough for the step by step backprop explanation! Easy to follow and you didn’t skip steps. This has helped so much with my AI class. Thank you

Thanks ,It was a very clear explanation of back propagation .

Thank you so much for the detailed explanation on back propagation

I spent entire day doing what you did on paper myself. It was an awesome day since you inspired me. Appreciate your brave and kind efforts.

Very good explanation. Thanks.

hi, Sir I have read your article and I got an understanding on artificial neural network and it is really valuable article but what I have a question is how we can train if the input is not in binary or if it is an ASCII character?

Doubt: do we need to update biasing

Thanks! This explains it very well! A couple things that would be neat to see as improvements would be to alter your java program you use to show the neural net in action and have it be a bit more interactive. By this I mean be able to step through say the first handful of calculations or just be able to stop it at will and then have it display the equations with real numbers as you click or mouse over the different parts of the model.

You are a great teacher!

how to determin the initial weight and bais dependend on the actual input and output

i just have one question about biases.

bias’s weight doesn’t change?

The tutorials I read when writing this didn’t update it so I didn’t here. It is something you can add on though.

Best articles to learn deep learning | Learn for Master

Thanks Mazur, “A Step by Step Backpropagation Example” is very well written compared to many other similar ones found in the net. I have a question, lets say the target output values are ’12’ and ’78’. Should I normalized these values to [0 ,1] ? If not, how do I calculate the output error where the training result is in range [0,1] ?

It would be even better if you could talk about the iterations

I mean you just took 1 training example

Please explain how to iterate all examples in dataset and epochs.

I am going to join the others on here and say thanks for great explanation of back propagation!

I don’t know how will I thanks to you for this excellent step by step explanation for the Backpropagation algorithm . Its a excellent work .and helpful for future work.