This is a Multi Layered Neural Network Library made in java for experimental purposes in January-March 2020 which is similar to deeplearning4j wrapper. Let's peek into the "Step Builder" code.
// MultiLayerConfiguration for Neural Network Structure
final MultiLayerConfiguration config = new MultiLayerConfiguration.Builder()
.activation(ActivationFunction.LEAKY_RELU)
.weightInit(WeightInit.XAVIER)
.optimizationAlgo(OptimizationAlgo.STOCHASTIC_GRADIENT_DESCENT) // Change SGD or GD
.momentum(0.5)
.updater(0.001) // learning rate or updater
.layer(0, new InputLayer.Builder().nIn(2) // InputSize fanIn
.build())
.layer(1, new DenseLayer.Builder().nIn(25) // DenseLayer
.activation(ActivationFunction.LEAKY_RELU)
.build())
.layer(2, new DenseLayer.Builder().nIn(15) // DenseLayer
.activation(ActivationFunction.LEAKY_RELU)
.build())
.layer(3, new DenseLayer.Builder().nIn(15) // DenseLayer
.activation(ActivationFunction.LEAKY_RELU)
.build())
.layer(4, new OutputLayer.Builder().nOut(1) // OutputSize fanOut
.activation(ActivationFunction.LEAKY_RELU)
.build())
.list()
.maxEpoch(100000)
.minError(0.01)
.server(true) // port 8080 for visualizing the network
.build();
// MultiLayer Network Builder
MultiLayerNetwork model = new MultiLayerNetwork(config);
model.init();
// If you want to see the score then this callback will give the result
ScoreListener listener = new ScoreListener(1000);
model.addScoreListener(listener);
model.fit(xor); // for training the network
double[] p1 = model.predict(1, 1); // predict the input values that you have trained- Removed The ScalarNormalization and CSVParser for custom implementation.
- Removed Gradient Cliping Unstable Performance.
<!-- For Repository Pulling -->
<repositories>
<repository>
<id>jitpack.io</id>
<url>https://jitpack.io</url>
</repository>
</repositories>
<!-- For Dependencies -->
<dependencies>
<dependency>
<groupId>com.github.zaxxio</groupId>
<artifactId>layered-neural-network</artifactId>
<version>v1.0.4</version>
</dependency>
</dependencies>allprojects {
repositories {
// jcenter or mavenCentral something
maven { url 'https://jitpack.io' }
}
}
dependencies {
implementation 'com.github.zaxxio:layered-neural-network:v1.0.4'
}Thank you.
Copyright 2022 Partha Sutradhar
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