didacroyo

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

didacroyo

# 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