Welcome

Welcome to Neural Network from scratch using Java.

Folder Structure

The workspace contains two folders by default, where:

• src: the folder to maintain sources
• lib: the folder to maintain dependencies

Class Description

Basic implementation of a Single Neuron in Java from scratch.

        Inputs                            Outputs

 A          B          C  

 0          0          1                     0

 1          1          1                     1

 1          0          1                     1

 0          1          1                     0


 As can be seen from the above table it can be inferred that whenever the input A is '1' the output is '1' else '0'.
 The model is trained on the above data using a simple error correction loop and sigmoid function for scaling.

 Example Test Case:

 1          0          0                     1

Use these weights in case weight intialization does not work: double synaptic_weights[][]={{-0.16595599},{0.44064899},{-0.99977125}};