Learning Deep Architectures for Ai
List Price: $90.00
Publisher: Now Publishers
Binding: Trade Paper
Size: 6.00" wide x 9.25" long x 0.25" tall
Can machine learning deliver AI? Theoretical results, inspiration from the brain and cognition, as well as machine learning experiments suggest that in order to learn the kind of complicated functions that can represent high-level abstractions (e.g. in vision, language, and other AI-level tasks), one would need deep architectures. Deep architectures are composed of multiple levels of non-linear operations, such as in neural nets with many hidden layers, graphical models with many levels of latent variables, or in complicated propositional formulae re-using many sub-formulae. Each level of the architecture represents features at a different level of abstraction, defined as a composition of More...
100% Money Back Guarantee: Wrong item? No problem! Our hassle-free
returns policy has you covered.
We'll also process your order within 1-2 business days. Learn more about our