Neural Network beginner level tutorial

Question

I am trying to build a simple multi layer perceptron Neural Network in Java, but apparently my calculations are off. I am looking for a beginner-level tutorial which can help me to understand how to properly calculate forward and backward pass, preferably with examples.

Possible duplicate of How to set the number of neurons and layers in neural networks — Aditya, Mar 09 '18 at 17:51

score 1 · Accepted Answer · answered Mar 09 '18 at 15:58

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One of articles which helped me a lot is : A Step by Step Backpropagation Example by Matt Mazur. It covers forward and backward pass of MLP. I hope that helps.

Another great source is http://www.deeplearningbook.org/

answered Mar 09 '18 at 15:58

koryakinp

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score 0 · Answer 2 · answered Mar 09 '18 at 16:18

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Apart the mentioned resources, this also might be of help: MLP Java example. It's from the University of Sydney and includes theory and a Java implementation.

answered Mar 09 '18 at 16:18

TitoOrt

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score 0 · Answer 3 · answered Sep 27 '19 at 16:02

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You can follow this tutorial Neural Network: A Complete Beginners Guide from Scratch. It's covered the very basics and also shared the code.

answered Sep 27 '19 at 16:02

Milon

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Neural Network beginner level tutorial

3 Answers3