Machine Learning, Artificial Intelligence, Technology, Deep Learning, Data Science.
parameters size of an RVNN and CVNN are not as straightforward as b/w 2 RVNN. Even if CVNNs lead to huge reductions in model size for comparable performance, they might still end up with higher costs. We can get around this with good engineering ( the use of a fixed function in the Hybrid Neural