I a beginner in Deep Learning, especially CNN. I have a dataset of the handwritten words – “TRUE”, “FALSE” and “NONE”.I want my model to recognize the words and put them in the correct class. I created a simple CNN model copying the TinyVGG architecture. However, the loss and accuracy values are the same for all epochs. I tried changing the batch size, epochs and learning rate and it’s not working. Since I am new to this concept and this is being my first project I do not know what changes to be made to the model. Please help me with the appropriate corrections to be made to it.