Fitting and Predicting with multiple inputs
Advanced Deep Learning with Keras
Zach Deane Mayer
Data Scientist
Fit with multiple inputs
model.fit([data_1, data_2], target)
Predict with multiple inputs
model.predict([np.array([[1]]), np.array([[2]])])
array([[3.]], dtype=float32)
model.predict([np.array([[42]]), np.array([[119]])])
array([[161.]], dtype=float32)
Evaluate with multiple inputs
model.evaluate([np.array([[-1]]), np.array([[-2]])], np.array([[-3]]))
1/1 [==============================] - 0s 801us/step
Out[21]: 0.0
