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](https://datascience.stackexchange.com/questions/26597/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