Classification, Text, Python, Keras.
model.add(Dense(len(set(labels)), activation='softmax')) # Compile the model model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy']) # Print the model summary print(model.summary()) In this step, we have defined the architecture of our text classification model using