mxnet/example/autoencoder/mnist_sae.py not converge with the specified parameters

[p2004r]

Version of the code with the working parameters

Please fix this part of the example!

# pylint: skip-file
from __future__ import print_function
import mxnet as mx
import numpy as np
import logging
import data
from autoencoder import AutoEncoderModel


if __name__ == '__main__':
    # set to INFO to see less information during training
    logging.basicConfig(level=logging.DEBUG)

ae_model = AutoEncoderModel(mx.gpu(0), [784,500,300,150,10], pt_dropout=0.3,
        internal_act='relu', output_act='relu')

X, _ = data.get_mnist()
train_X = X[:60000]
val_X = X[60000:]

ae_model.layerwise_pretrain(train_X, 256, 150000, 'sgd', l_rate=0.001, decay=0.0,
                             lr_scheduler=mx.misc.FactorScheduler(20000,0.7))
ae_model.finetune(train_X, 256, 100000, 'sgd', l_rate=0.001, decay=0.0,
                   lr_scheduler=mx.misc.FactorScheduler(20000,0.6))
ae_model.save('mnist_pt.arg')
ae_model.load('mnist_pt.arg')
print("Training error:", ae_model.eval(train_X))
print("Validation error:", ae_model.eval(val_X))

[yajiedesign]

This issue is closed due to lack of activity in the last 90 days. Feel free to reopen if this is still an active issue. Thanks!