3 from keras
.models
import model_from_json
5 with
open('model.json', 'r') as f
:
8 model
= model_from_json(json
)
9 model
.load_weights('./model.hdf5')
11 loss
='binary_crossentropy',
15 dat
= np
.genfromtxt(sys
.stdin
.buffer, dtype
=float, delimiter
='\t')
16 for i
in model
.predict(dat
, batch_size
=32, verbose
=0):