| 29 | import {createModel as createFashionMnistModel} from './model_fashion_mnist'; |
| 30 | |
| 31 | function parseArgs() { |
| 32 | const parser = new argparse.ArgumentParser({ |
| 33 | description: 'TensorFlow.js Quantization Example: Training an MNIST Model', |
| 34 | addHelp: true |
| 35 | }); |
| 36 | parser.addArgument('dataset', { |
| 37 | type: 'string', |
| 38 | help: 'Name of the dataset ({mnist, fashion-mnist}).' |
| 39 | }); |
| 40 | parser.addArgument('--epochs', { |
| 41 | type: 'int', |
| 42 | defaultValue: 100, |
| 43 | help: 'Number of epochs to train the model for.' |
| 44 | }); |
| 45 | parser.addArgument('--batchSize', { |
| 46 | type: 'int', |
| 47 | defaultValue: 128, |
| 48 | help: 'Batch size to be used during model training.' |
| 49 | }); |
| 50 | parser.addArgument('--validationSplit', { |
| 51 | type: 'float', |
| 52 | defaultValue: 0.15, |
| 53 | help: 'Validation split used for training.' |
| 54 | }); |
| 55 | parser.addArgument('--modelSavePath', { |
| 56 | type: 'string', |
| 57 | defaultValue: './models/', |
| 58 | help: 'Path to which the model will be saved after training.' |
| 59 | }); |
| 60 | parser.addArgument('--gpu', { |
| 61 | action: 'storeTrue', |
| 62 | help: 'Use tfjs-node-gpu for training (requires CUDA-enabled ' + |
| 63 | 'GPU and supporting drivers and libraries.' |
| 64 | }); |
| 65 | return parser.parseArgs(); |
| 66 | } |
| 67 | |
| 68 | async function main() { |
| 69 | const args = parseArgs(); |