but why ? if it is lack of maths, then you can work through derivations etc by following Christopher bishop's excellent 'neural network for pattern recognition'. for me though, the balance between theory and practice is just right.
also, for some more fun you may want to check out Stanford's uldl page as well, which goes into unsupervised learning and deep-learning architectures.
Comments
but why ? if it is lack of maths, then you can work through derivations etc by following Christopher bishop's excellent 'neural network for pattern recognition'. for me though, the balance between theory and practice is just right.
also, for some more fun you may want to check out Stanford's uldl page as well, which goes into unsupervised learning and deep-learning architectures.