Check the examples folder for some examples of how to use the library. The examples are split in pairs of two main features of the library:

• Training a network
• Predicting with a trained network

For example, the examples/sum-train folder contains the code to train a network to sum two numbers, while the examples/sum-predict folder contains the code to predict the sum of two numbers with a trained network. Running it will generate a checkpoint file that will serve as our network model (in this example sum-relu-checkpoint.gob.gz).

The second folder, examples/sum-predict, contains the code to predict the sum of two numbers with a trained network. It will load the checkpoint file generated by the training example (sum-relu-checkpoint.gob.gz) and use it to predict the sum of two numbers.

Please, always run the train example before running the predict example.

Running sum training:

go run examples/sum-train/main.go

It will train the model and save it in a checkpoint file called sum-relu-checkpoint.gob.gz.

To run the sum prediction example:

go run examples/sum-predict/main.go