Valueerror: Layer Sequential Expects 1 Inputs, But It Received 250 Input Tensors

I tried to develop a CNN model to extract feature from vein images but I cant solve the ValueError shown. model = Sequential() model.add(Conv2D(64, kernel_size=(2, 2), activation='

Solution 1:

One issue I can see from your code, here:

model.add(Dense(8, activation='sigmoid'))
model.compile(loss=keras.losses.categorical_crossentropy,

You should use activation to softmax if you use the loss function categorical cross entropy. Or, use binary_cross_entropy if activation need to be sigmoid