When I try to train this model, it generates the error 'ValueError: Error when checking target: expected dense_33 to have shape (60, 60, 5) but got array with shape (240, 240, 5)'. After one-hot encoding, y_train.shape is (4992, 240, 240, 5). x_train.shape is (4992, 240, 240, 1)
Please help me to solve this error. I am a beginner to deep learning.
#My training model
model = Sequential()
model.add(Conv2D(64,(5,5),input_shape=(240,240,1),padding='same',activation='relu'))
model.add(MaxPooling2D(pool_size=(2,2)))
model.add(Conv2D(32,(5,5),padding='same',activation='relu'))
model.add(MaxPooling2D(pool_size=(2,2)))
model.add(Dense(512,activation='relu'))
model.add(Dense(256, activation='relu'))
model.add(Dense((num_classes), activation='softmax'))#output layer
# Compile model
model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])
model.summary()
model.fit(x_train, ytrain, validation_data=(x_test, ytest),epochs=10, batch_size=64,
verbose=2)
