Ok. This is what I got.
load jpath '~temp/simple_conv_test.ijs'
batchnorm
┌─┬─┬──────┬──┬────┐
│0│1│0.0001│10│0.01│
└─┴─┴──────┴──┴────┘
batchnorm
┌─┬─┬──────┬─┬────┐
│0│1│0.0001│5│0.01│
└─┴─┴──────┴─┴────┘
batchnorm
┌─┬─┬──────┬─┬────┐
│0│1│0.0001│2│0.01│
└─┴─┴──────┴─┴────┘
Added Conv2D. Network depth is 1.
Added PoolLayer. Network depth is 2.
Added Activation. Network depth is 3.
Added Conv2D. Network depth is 4.
Added Activation. Network depth is 5.
Added FlattenLayer. Network depth is 6.
Added SimpleLayer. Network depth is 7.
Added Activation. Network depth is 8.
OUTPUT fit__pipe INPUT
Iteration complete: 1, total: 1
Iteration complete: 2, total: 2
Iteration complete: 1, total: 3
Iteration complete: 2, total: 4
Iteration complete: 1, total: 5
Iteration complete: 2, total: 6
Iteration complete: 1, total: 7
Iteration complete: 2, total: 8
Iteration complete: 1, total: 9
Iteration complete: 2, total: 10
Iteration complete: 1, total: 11
Iteration complete: 2, total: 12
Iteration complete: 1, total: 13
Iteration complete: 2, total: 14
Iteration complete: 1, total: 15
Iteration complete: 2, total: 16
Iteration complete: 1, total: 17
Iteration complete: 2, total: 18
Iteration complete: 1, total: 19
Iteration complete: 2, total: 20
10
OUTPUT -:"1 1 (=>./)"1 >{: predict__pipe INPUT
1 0 1 1 1 1 0 0 0 1 0 0 0 0 1
NB. so this tells me that 8 times the prediction was wrong and 7 times
right.
NB. so I should run `OUTPUT fit__pipe INPUT` 2 or 3 more times.
What does the other output mean? For example what is alternating 1 and 2,
what is 1...20, what is 10?
Thanks,
--
(B=)
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