mathDR
/ mnist_cnn_incremental.py
Created
April 14, 2016 02:55
Incremental learning of mnist dataset (following T.Xiao et.al. "Error-Driven Incremental Learning in Deep Convolutional Neural Network for Large-Scale Image Classification"
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| '''Trains a simple convnet on the MNIST dataset. | |
| Does flat increment from T. Xiao "Error-Driven Incremental Learning in Deep Convolutional | |
| Neural Network for Large-Scale Image Classification" | |
| Starts with just 3 classes, trains for 12 epochs then | |
| incrementally trains the rest of the classes by reusing | |
| the trained weights. | |
| ''' | |
| from __future__ import print_function | |
| import numpy as np |