Machine Learning, Deep Learning, Artificial Intelligence, Hype, Neural Networks.
computations in neural networks are not invertible and the outputs cannot be traced back to the original input components (constituents) — in NNs these components are lost once they are sub-symbolically distributed. It is that simple, yet numerous papers making false claims continue to be