Hello, I am a newbie to deep learning.
I have numerical data with 300 rows and 667 columns. The last column contains labels with the help of which, I want to classify the datasets into two classes. I am having problems with data input to the convolutional layer. I am having difficulty applying filters to numerical data.
Can anyone please suggest a proper implementation of CNN to numerical data to me?
P.S.: I know that the dataset is small. I have data augmentation in the to-do task but before that, I want to understand the concepts related to the input layer.