{"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.6.0"}},"nbformat":4,"nbformat_minor":0,"cells":[{"cell_type":"code","execution_count":1,"metadata":{"_cell_guid":"9d2d6e65-83f6-8cba-3675-3999ceac622f","_active":false,"collapsed":false},"outputs":[],"source":"from keras.applications.vgg16 import VGG16\nfrom keras.preprocessing import image\nfrom keras.applications.vgg16 import preprocess_input\nimport numpy as np\n\nmodel = VGG16(weights='imagenet', include_top=False)\n","execution_state":"idle"},{"metadata":{"_cell_guid":"7b4832a7-3ff7-c831-30a3-5416daa61178","_active":false,"collapsed":false},"source":"img_path = 'elephant.jpg'\nimg = image.load_img(img_path, target_size=(224, 224))\nx = image.img_to_array(img)\nx = np.expand_dims(x, axis=0)\nx = preprocess_input(x)\n\nfeatures = model.predict(x)","execution_count":null,"cell_type":"code","outputs":[]}]}