July 2017
Beginner to intermediate
378 pages
10h 26m
English
Deep learning is a big umbrella that covers many projects and neural network configurations using a variety of methods. The following chart can give you an idea of the variety of architectures available. There is typically a trade-off between the accuracy obtainable and required computing time to train the models that has to be considered. The right trade-off depends on the use case. The y axis represents accuracy and the x axis represents compute requirements:

This is a big field and there are many areas to explore. There are methods that ...