How does Keras 1d convolution layer work with word embeddings – text classification problem? (Filters, kernel size, and all hyperparameter)
I am currently developing a text classification tool using Keras. It works (it works fine and I got up to 98.7 validation accuracy) but I can’t wrap my head around about how exactly 1D-convolution layer works with text data.