Deep Netts Community Edition

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To be able to use Deep Netts in your Maven based Java project, add the following dependency into dependencies section of your pom.xml file:

    <dependency>
        <groupId>com.deepnetts</groupId>
        <artifactId>deepnetts-core</artifactId>
        <version>1.13.2</version>
    </dependency>

Learn more about Deep Netts Community adition at https://www.deepnetts.com/blog/deep-netts-community-edition

If you need

• faster training
• higher accuracy
• beginner-friendly development tools
• advanced algorithms and features
• professional technical support

take a look at Deep Netts Professional Edition

Building and Running

Minimum requirements

• Java 8 or above
• Maven 3.5 or above

Building

Install the core libraries (jar files) into your local maven repository, while in the repo root folder, run the below:

mvn clean install

Running

To run the examples in the deepnetts-examples folder, run the below:

cd deepnetts
mvn exec:java -Dexec.mainClass=deepnetts.examples.[Class name]

or 

cd deepnetts
java -cp target/deepnetts-examples-1.12.jar deepnetts.examples.[Class name]

Here is a list of Class names to select from:

BostonHouses
Cifar10
ConvolutionalImageClassifier
CrediCardFraud
DukeDetector
IrisFlowersClassifier
LinearRegression
LoadAndUseTrainedNetwork
LogisticRegression
Mnist
QuickStart
RandomLinearDataGenerator
SpamClassifier
SweedenAutoInsurance
XorExample

For example enter the deepnetts-examples folder:

cd deepnetts-examples

and then run one of these:

mvn exec:java -Dexec.mainClass=deepnetts.examples.IrisFlowersClassifier

or

java -cp target/deepnetts-examples-1.12.jar deepnetts.examples.IrisFlowersClassifier

will result in this IrisFlowersClassifier console output. You can find the console outputs of the other examples here.