Crate dumbnet

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.

Modules

activation	Activations for use in layers
layers	Stackable Layers
prelude
softmax	a Layer implementing a SoftMax activation function