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@juliensimon
Last active April 24, 2017 08:42
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Load ResNext-101
import mxnet as mx
epochs = 100
sym, arg_params, aux_params = mx.model.load_checkpoint("resnext-101",0)
mod = mx.mod.Module(symbol=sym, context=(mx.gpu(0), mx.gpu(1), mx.gpu(2), mx.gpu(3)))
mod.bind(data_shapes=train_iter.provide_data, label_shapes=train_iter.provide_label)
mod.set_params(arg_params, aux_params)
mod.fit(train_iter, eval_data=valid_iter,
optimizer_params={'learning_rate':0.05, 'momentum':0.9}, num_epoch=epochs)
mod.save_checkpoint("resnext-101-001", epochs)
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