How Loss Change Allocation For Machine Learning Training Can Aid Transparency
Whether it is the market crash or a wrong diagnosis, the after-effects will be certainly irreversible. Hence, tracking the development of machine learning algorithm throughout its life cycle becomes crucial. Neural network activations have an underlying compositional, combinatorial structure. Visualising the behaviour of neural networks has been of great interest lately for two reasons — […]
