CSC321: Neural
Networks
Lecture 6: Learning in recurrent
networks
Backpropagation with weight constraints
An advantage of modeling sequential data
The equivalence between layered, feedforward nets and recurrent nets
Teaching signals for recurrent networks
A good problem for a recurrent network
The algorithm for binary addition
A recurrent net for binary addition