model = Sequential()

model.add(Conv2D(64,
(5,5),input_shape=input_shape,padding='same',activation='relu',strides=
(2,2)))
model.add(MaxPooling2D(pool_size=(2,2)))

model.add(Conv2D(128,
(5,5),input_shape=input_shape,padding='same',activation='relu',strides=
(2,2)))
model.add(MaxPooling2D(pool_size=(2,2)))

model.add(Conv2D(256,
(5,5),input_shape=input_shape,padding='same',activation='relu',strides=
(2,2)))
model.add(MaxPooling2D(pool_size=(2,2)))

model.add(Flatten())
model.add(Dense(4032,activation='relu'))
model.add(Dense(300,activation='relu'))
model.add(Dense(7,activation='softmax'))