nudles

import numpy as np
from scipy import linalg
from sklearn.utils import array2d, as_float_array
from sklearn.base import TransformerMixin, BaseEstimator


class ZCA(BaseEstimator, TransformerMixin):

    def __init__(self, regularization=10**-5, copy=False):
        self.regularization = regularization

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import numpy as np
import sys
import os

sys.path.append(os.path.join(os.path.dirname(__file__), '../../build/python'))

from singa import device
from singa import tensor
import net as ffnet

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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#

nudles

# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#

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.project
.pydevproject
data_
parameter_
*.pyc

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.project
.pydevproject
data_
parameter_
*.pyc

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*.pyc

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from singa import layer
from singa import net as ffnet
from singa import loss
from singa import device
from singa import tensor

# create the net
net = ffnet.FeedForwardNet(loss.SoftmaxCrossEntropy())
net.add(layer.Conv2D('conv', 32, 5, 1, pad=2, (3, 32, 32)))
net.add(layer.Activation('relu'))

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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#

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name	SINGA version	SINGA commit	parameter_url	license
Resnets on ImageNet	1.1	45ec92d8ffc1fa1385a9307fdf07e21da939ee2f	https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/wrn-50-2.tar.gz	Apache V2, https://github.com/facebook/fb.resnet.torch/blob/master/LICENSE

Image Classification using Residual Networks