….what do I do?

I have 2000 images each of classes “Mobile” and “Cake”, with a validation split of 0.3. This is the code of the model..

​

—————————————————————————————-

model = keras.models.Sequential()

model.add(keras.layers.Conv2D(32, (3, 3), activation=’relu’, input_shape=(150, 150, 3)))
model.add(keras.layers.MaxPooling2D((2, 2)))

model.add(keras.layers.Conv2D(64, (3, 3), activation=’relu’))
model.add(keras.layers.MaxPooling2D((2, 2)))

model.add(keras.layers.Conv2D(128, (3, 3), activation=’relu’))
model.add(keras.layers.MaxPooling2D((2, 2)))
model.add(keras.layers.Conv2D(128, (3, 3), activation=’relu’))
model.add(keras.layers.MaxPooling2D((2, 2)))
model.add(keras.layers.Flatten())
model.add(keras.layers.Dropout(0.5))
model.add(keras.layers.Dense(512, activation=’relu’))
model.add(keras.layers.Dense(1, activation=’sigmoid’))
model.compile(loss=’binary_crossentropy’,optimizer=keras.optimizers.RMSprop(lr=((1e-4)/10)),metrics=[‘acc’])
history=model.fit(Xnew,Ynew,1,10,validation_split=0.3)

—————————————————————————————-

Can anyone help me out? The accuracy gets stuck on 0.5280 right from the second epoch. I am a beginner in CNN, and would appreciate some guidance with this. Thanks!