Single-layer neural networks can be trained using various learning algorithms. The best-known algorithms are the Adaline, Perceptron and Backpropagation algorithms for supervised learning. The first two are specific to single-layer neural networks while the third can be generalized to multi-layer perceptrons.
Simple I2C controller
-- 1) No multimaster
-- 2) No slave mode
-- 3) No fifo s
--
-- notes:
-- Every command is acknowledged. Do not set a new command before previous is acknowledged.
-- Dout is available 1 clock cycle later as cmd_ack
