# initialize our initial learning rate and # of epochs to train for
INIT_LR = 0.01
EPOCHS = 75

# compile the model using SGD as our optimizer and categorical
# cross-entropy loss (you'll want to use binary_crossentropy
# for 2-class classification)
print("[INFO] training network...")
opt = SGD(lr=INIT_LR)
model.compile(loss="categorical_crossentropy", optimizer=opt,metrics=["accuracy"])