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0 input_1 | |
1 stem_conv1 | |
2 stem_bn1 | |
3 activation_1 | |
4 reduction_conv_1_stem_1 | |
5 reduction_bn_1_stem_1 | |
6 activation_2 | |
7 activation_4 | |
8 separable_conv_1_reduction_left1_stem_1 | |
9 separable_conv_1_reduction_1_stem_1 |
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# from the guide https://blog.keras.io/building-powerful-image-classification-models-using-very-little-data.html | |
# and from other resources found, trying to achieve a good classifier based on Inveption V3 pre-trained netfork | |
from keras.applications.inception_v3 import InceptionV3 | |
from keras.preprocessing import image | |
from keras.models import Model | |
from keras.layers import Dense, GlobalAveragePooling2D | |
from keras.preprocessing.image import ImageDataGenerator | |
from keras import backend as K | |
from keras.callbacks import ModelCheckpoint |