frugally-deep: ValueError: Refusing to perform an overparameterized separable convolution
Hi,
I try to use your awesome solution. few questions:
I have below error when I ran :
ValueError: Refusing to perform an overparameterized separable convolution: channel_multiplier * in_channels = 1 * 2 = 2 > 1 = out_channels
my training code: `from keras.preprocessing.image import ImageDataGenerator from keras.models import Sequential from keras.layers import Conv2D, MaxPooling2D from keras.layers import Activation, Dropout, Flatten, Dense from keras.callbacks import EarlyStopping, ModelCheckpoint from keras import backend as K from model import create_model from math import ceil
model = create_model() model.compile(loss=‘categorical_crossentropy’, optimizer=‘rmsprop’, metrics=[‘accuracy’])
`
is this output usable from your code or need to change ie:optimizer or not supported . ?
Best
About this issue
- Original URL
- State: closed
- Created 6 years ago
- Comments: 17 (8 by maintainers)
No problem. Just wanted to make sure it wasn’t more code for “Help, I’m trapped in a neural network.” or something. 😉
After upgrading the latest tensorflow and keras all is good. successfully exported.
thx