A convolutional neural network for image recognition
See the Wiki section for a better explanation of the project
A convolutional neural network for images recognition
License: MIT License
A convolutional neural network for image recognition
See the Wiki section for a better explanation of the project
Maybe the lines
https://github.com/kYroL01/ConvNet/blob/master/my_alexnet_cnn.py#L211
must be delete, and int the lines
https://github.com/kYroL01/ConvNet/blob/master/my_alexnet_cnn.py#L218
run the sess with logits
that return train logits
is completely useless
In ConvNet constructor:
self.weights = {
'wc1': tf.Variable(tf.random_normal([11, 11, 3, BATCH_SIZE], stddev=std_dev)),
...
}
Consider replacing your hardcoded value with your variable n_channels
to wc1
, i.e.:
self.weights = {
'wc1': tf.Variable(tf.random_normal([11, 11, n_channels, BATCH_SIZE], stddev=std_dev)),
...
}
Thank you for an otherwise nice example code of AlexNet :)
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