pip install keras
open/create ~/.keras/keras.json edit "image_dim_ordering": “th”; “backend”: “theano”;
open script from: http://bit.ly/empatika-keras-1
MNIST
Dogs & Cats
cd <folder that contains ‘data’ subfolder from Google Drive>
open/create ~/.keras/keras.json edit “backend”: “tensorflow”;
open script from: http://bit.ly/empatika-keras-2 (initial gist)
ResNet50fromresnet50importResNet50fromkeras.preprocessingimportimagefromimagenet_utilsimportpreprocess_input,decode_predictionsimportnumpyasnp
model=ResNet50(weights='imagenet')
img_path='elephant.jpg'img=image.load_img(img_path,target_size=(224,224))x=image.img_to_array(img)x=np.expand_dims(x,axis=0)x=preprocess_input(x)
preds=model.predict(x)print('Predicted:',decode_predictions(preds))
Top Related