fujisanx

from tensorflow.contrib.keras.python.keras.models import Model
from tensorflow.contrib.keras.python.keras.layers import GlobalAveragePooling2D, Dense
from tensorflow.contrib.keras.python.keras.applications import ResNet50
from tensorflow.contrib.keras.python.keras.optimizers import Adam
from tensorflow.contrib.keras.python.keras.preprocessing.image import ImageDataGenerator
from tensorflow.contrib.keras.python.keras.callbacks import ModelCheckpoint, EarlyStopping

base_model = ResNet50(weights='imagenet', include_top=False, input_shape=shape)
x = base_model.output
x = GlobalAveragePooling2D()(x)

fujisanx

import glob
import os
import cv2
from keras.preprocessing.image import ImageDataGenerator

datagen = ImageDataGenerator(
        horizontal_flip=True,
        vertical_flip=True,
        rotation_range= 90,
        zoom_range=0.1,  

fujisanx

from keras.models import Model, load_model
from keras import applications
from keras import optimizers
from keras.layers import Flatten, Dense

base_model = applications.ResNet50(weights='imagenet', include_top=False, input_shape=(224, 224, 3))
x = base_model.output
x = Flatten()(x)
x = Dense(3)(x)
model = Model(inputs=base_model.input, outputs=x )