Lens provides a number of example networks to give you a convenient reference and some fun toy problems to play with.
If this is your first time using Lens, you will want to explore the...
| Feed-Forward Networks | |
| xor.in | What simulator would be complete without the old XOR problem? |
| digits.in | A very simple digit recognition task. |
| hand-digits.in | A real handwritten digit recognition problem. |
| bench.in | Used for benchmarking the simulator. Not very interesting. |
| encoder.in | Another classic: the encoder network. |
| negation.in | The bit negation problem from Vol. 1 of the PDP books. |
| pick-one.in | Can the network find the culprit in the crowd? |
| t-c.in | The T-C recognition problem from Vol. 1 of the PDP books. |
| task.in | A gating network that learns to solve a specified task. |
| logic.in | A network that solves boolean formulae with three variables. |
| Simple Recurrent Networks | |
| filler.in | A memory task. |
| filler-srbptt.in | The same task using an SRBPTT network. |
| adder2.in | A network that learns to add binary numbers. |
| adder10.in | A network that learns to add base-10 numbers. |
| sequence.in | A sequence prediction problem. |
| rhw-sequence.in | The sequence task from Vol. 1 of the PDP books. |
| logic2.in | The network must solve complex, nested boolean formulae. |
| recoder.in | Can the network invent a language? |
| Fully Recurrent Networks | |
| integrate.in | Study the behavior of different types of integrating units. |
| rand10x40.in | A feed-forward random mapping task with a continuous network. |
| on-off.in | A continuous network that must turn units on and then off. |
| Other Networks | |
| jets-n-sharks.in | The Jets and Sharks interactive-activation network. |
| kohonen.in | A Kohonen self-organizing map (SOM). |
| boltz.in | Two simple Boltzmann machines on the digits task. |
| boltz-complete.in | A pattern-completion task with Boltzmann machines. |