home | career | drupal | java | mac | mysql | perl | scala | uml | unix  

Java example source code file (ConvolutionLayer.java)

This example Java source code file (ConvolutionLayer.java) is included in the alvinalexander.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Learn more about this Java project at its project page.

Java - Java tags/keywords

allargsconstructor, builder, convolutionlayer, default, down-sample, equalsandhashcode, illegalargumentexception, kernel, noargsconstructor, override, padding, square, stride, suppresswarnings

The ConvolutionLayer.java Java example source code

package org.deeplearning4j.nn.conf.layers;

import lombok.*;

import org.nd4j.linalg.convolution.Convolution;

/**
 * @author Adam Gibson
 */
@Data @NoArgsConstructor
@ToString(callSuper = true)
@EqualsAndHashCode(callSuper = true)
public class ConvolutionLayer extends FeedForwardLayer {
    protected Convolution.Type convolutionType;
    protected int[] kernelSize; // Square filter
    protected int[] stride; // Default is 2. Down-sample by a factor of 2
    protected int[] padding;

    private ConvolutionLayer(Builder builder) {
    	super(builder);
        this.convolutionType = builder.convolutionType;
        if(builder.kernelSize.length != 2)
            throw new IllegalArgumentException("Kernel size of should be rows x columns (a 2d array)");
        this.kernelSize = builder.kernelSize;
        if(builder.stride.length != 2)
            throw new IllegalArgumentException("Stride should include stride for rows and columns (a 2d array)");
        this.stride = builder.stride;
        if(builder.padding.length != 2)
            throw new IllegalArgumentException("Padding should include padding for rows and columns (a 2d array)");
        this.padding = builder.padding;
    }

    @Override
    public ConvolutionLayer clone() {
        ConvolutionLayer clone = (ConvolutionLayer) super.clone();
        if(clone.kernelSize != null) clone.kernelSize = clone.kernelSize.clone();
        if(clone.stride != null) clone.stride = clone.stride.clone();
        if(clone.padding != null) clone.padding = clone.padding.clone();
        return clone;
    }

    @AllArgsConstructor
    public static class Builder extends FeedForwardLayer.Builder<Builder> {
        private Convolution.Type convolutionType = Convolution.Type.VALID;
        private int[] kernelSize = new int[] {5,5};
        private int[] stride = new int[] {1,1};
        private int[] padding = new int[] {0, 0};


        public Builder(int[] kernelSize, int[] stride, int[] padding) {
            this.kernelSize = kernelSize;
            this.stride = stride;
            this.padding = padding;
        }

        public Builder(int[] kernelSize, int[] stride) {
            this.kernelSize = kernelSize;
            this.stride = stride;
        }

        public Builder(int... kernelSize) {
            this.kernelSize = kernelSize;
        }

        public Builder() {}

        public Builder convolutionType(Convolution.Type convolutionType) {
            this.convolutionType = convolutionType;
            return this;
        }

        /**
         * Size of the convolution
         * rows/columns
         * @param kernelSize the height and width of the
         *                   kernel
         * @return
         */
        public Builder kernelSize(int... kernelSize){
            this.kernelSize = kernelSize;
            return this;
        }

        public Builder stride(int... stride){
            this.stride = stride;
            return this;
        }

        public Builder padding(int... padding){
            this.padding = padding;
            return this;
        }

        @Override
        @SuppressWarnings("unchecked")
        public ConvolutionLayer build() {
            return new ConvolutionLayer(this);
        }
    }
}

Other Java examples (source code examples)

Here is a short list of links related to this Java ConvolutionLayer.java source code file:



my book on functional programming

 

new blog posts

 

Copyright 1998-2019 Alvin Alexander, alvinalexander.com
All Rights Reserved.

A percentage of advertising revenue from
pages under the /java/jwarehouse URI on this website is
paid back to open source projects.