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//! A Neural Network library that does not make use of allocations or the standard library at all.
//! It does all its work on the stack.
//!
//! This has some advantages:
//!
//! ## Embedded
//! Embedded devices without any operating system are now able to run at least simple neural
//! networks.
//!
//! ## Compile-Time checks
//! Since the whole network layout needs to be known at compile time the dimensions of inputs and
//! outputs are checked.
//!
//! ## Easy to get started
//! No need for OpenCL or CUDA, it just runs on your CPU. Or basically any other CPU for that
//! matter.
//!
//! ## Optimization
//! The whole network being known to the compiler might enable some optimizations. That said the
//! library is currently not very well optimized.
//!
//!
//! Also it was a fun challenge and actually worked out :)
//!
//! Check the examples directory for some simple networks to get started.
extern crate serde_derive;
extern crate generic_array;
//pub mod convolution;
//pub mod loss;