sorki
d5db3d0b65
bump/adjust all bounds
2023-12-09 08:23:07 +11:00
0e01175386
Updated to lts-20.18
2023-04-23 12:48:25 +10:00
3b6391877c
Bumped to lts-18.28
2023-04-23 12:48:25 +10:00
Erik de Castro Lopo
5206c95c42
Remove use of RecordWildCards
2020-04-12 06:24:42 +10:00
Erik de Castro Lopo
14ec0de6bf
examples: Use CPP to support multiple GHC versions
2020-01-27 08:00:41 +11:00
Erik de Castro Lopo
fed6eb2c70
Drop support for GHC < 8.0
2020-01-19 14:59:00 +11:00
Erik de Castro Lopo
2b5dc8330f
Bump upper bounds of dependencies
2020-01-18 21:40:47 +11:00
koenigmaximilian
04b026f5d7
Simplify recurrent example
...
Produced better results when I tested (the Shakespeare example already contains a more complex recurrent network, let's KISS on this one.)
2018-07-07 20:57:25 +02:00
Huw Campbell
93435b2b99
Update mafia and make available in examples folder
2018-05-18 13:11:12 +10:00
Huw Campbell
9d9dfac6a2
And add a comment for where to grab the data
2018-01-04 16:27:37 +11:00
Huw Campbell
8349a85b0f
Give a slightly not terrible error message
2018-01-04 16:16:34 +11:00
Huw Campbell
0dd23bc2d2
Bump optparse in examples package
2017-12-15 09:13:30 +11:00
Huw Campbell
1ff89866be
Allow a recurrent net to be a recurrent layer
2017-07-14 14:05:41 +10:00
Huw Campbell
f9b53792fd
Network scale autodiff test
2017-04-11 10:08:08 +10:00
Huw Campbell
10a6003e73
Add Deconvolution layer and update the GAN example to use it
...
This cuts the runtime by about 70% which is nice, and it's a
better algorithm for it anyway.
I've also refactored the Convolution layer such that there's
only one actual implementation instead of two, and with that
provided a few more instances for 2D and 3D shapes in and out.
Update to the README and mnist show higher levels of composition.
2017-04-06 13:34:43 +10:00
Huw Campbell
e6293b8461
Cleanup imports and move examples to new project
2017-03-20 17:20:33 +11:00