Keras – Dense and Conv2D values
Images that I would like to use to train the network are about the size of 4000px*3000px and about 40k of them, sorted in 250 classes.
I have made a CNN shown below:
conv-neural-network
Tensorflow classes: which class is which
I have a CNN model and using it to predict the class of an image:
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.