A minimal deep learning framework written in Go. It includes: • A basic autograd engine • Feedforward neural network (MLP) implementation • Tokenizer with BPE-like encoding • Gradient descent
Train a simple MLP using random data:
go run cmd/examples/neuralnet/main.go
It will initialize a network, run forward/backward passes, and print the training loss/accuracy.