Neural Nets Wirn Vietri97

Learn about convolutional neural networks concepts, intuitions, mathematical derivations, and practical applications !

Apply Deep Learning concepts with Python to solve challenging tasks: Detect smiles in your camera app using Neural Nets

The first edition of this book has found great interest among scientists and en­ gineers dealing with pattern recognition and among psychologists working on psychophysics or Gestalt psychology. This book also proved highly useful for graduate students of informatics. The concept of the synergetic computer offers an important alternative to the by now more traditional neural nets. I just mention a few advantages: There are no ghost states so that time-consuming methods such as simulated annealing can be avoided; the synaptic strengths are explicitly determined by the prototype patterns to be stored, but they can equally well be learned, and the learning procedure allows a classification. Also a precise meaning and function can be attributed to "hidden variables".

The best way to learn machine learning and AI using python: simply and fully explained concepts with practical exercises.