emotion_detection.py

x_train=x_train.astype('float32')
x_test=x_test.astype('float32')

#intializing callbacks
early_stopping=keras.callbacks.EarlyStopping(patience=15,restore_best_weights=True)

model1.compile(optimizer='Adam',loss='categorical_crossentropy',metrics=['accuracy'])

model1.fit(x_train,y_train,
           batch_size=64,
           epochs=50,
           validation_data=(x_test,y_test),
           verbose=1,callbacks=[early_stopping])

print(model1.evaluate(x_test,y_test))