onlyuser / simple-neural-net-example

simple-neural-net-example is a simple neural net example

simple-neural-net-example

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simple-neural-net-example is a simple neural net example.

Net Topology

layer0          layer1                 layer2

[v0]------w00---[out0|err0]------w20---[out2|err2|v2]
   \            /  |                   /  |
    \  *--w01--*  w02         *--w21--*  w22
     \/           /          /           /
     /\          /          /           /
    /  *--w10--*/          /           /
   /           /\         /           /
[v1]------w11---[out1|err1]          /
             /     |                /
       *----*     w12         *----*
      /           /          /
     /   *-------*          /
    /   /                  /
   /   /                  /
[b0]--*                [b1]

bias==1                bias==1

Training Data (XOR)

input0	input1	output
0	0	0
0	1	1
1	0	1
1	1	0

Make Targets

target	action
all	make binaries
test	all + run tests
clean	remove all intermediate files

Requirements

Unix tools and 3rd party components (accessible from $PATH):

gcc

Installation

git clone https://github.com/onlyuser/simple-neural-net-example.git

References

"Backpropagation"

https://en.wikipedia.org/wiki/Backpropagation

Keywords

backpropagation neural net