Nsryjdtyk

Part of code:

mobilenetv2 = MobileNetV2(input_shape=(IMG_SIZE, IMG_SIZE, CHANNELS),

                          alpha=1.0,

                          depth_multiplier=1,

                          include_top=False,

                          weights='imagenet',

                          input_tensor=None,

                          pooling=None,

                          classes=12)



for layer in mobilenetv2.layers:

    layer.trainable = False



last = mobilenetv2.layers[-1].output

x = Flatten()(last)



x = Dense(120, use_bias=False)(x)

x = BatchNormalization()(x)

x = Activation('relu')(x)



x = Dense(84, use_bias=False)(x)

x = BatchNormalization()(x)

x = Activation('relu')(x)



preds = Dense(12, activation='softmax')(x)





model = Model(inputs=mobilenetv2.input, outputs=preds)

but the loss curve:

Are the above curves normal? I did not use dropout layers, because I am asked to compare dropout layers with BatchNormalization. but the curves look strange. Are my codes right? Or anything missing?
Thanks