Adarsh Kumar
2f05094068
Added consistency with ŷ and unicode chars
2020-03-02 20:00:47 +05:30
Adarsh Kumar
f9e31a020c
Updated huber_loss with other minute changes
2020-03-02 13:25:23 +05:30
Adarsh Kumar
08dabce57e
Updated loss function docs
2020-03-01 12:00:11 +05:30
Adarsh Kumar
57c1b67d08
Merge branch 'master' into patch-1
2020-03-01 11:49:33 +05:30
CarloLucibello
a72258ea2a
fix rebase
2020-02-29 18:55:49 +01:00
CarloLucibello
97141e8c98
improve docstring
2020-02-29 18:51:00 +01:00
CarloLucibello
487002878e
restrict train! special casing
2020-02-29 18:51:00 +01:00
CarloLucibello
b6c79b38b4
add DataLoader
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special case train! for the unsupervised data iterator
2020-02-29 18:50:59 +01:00
bors[bot]
37af9fb15c
Merge #1023
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1023: Feature: Added Boston Housing Dataset r=CarloLucibello a=pranjaldatta
[Boston Housing Dataset](https://archive.ics.uci.edu/ml/machine-learning-databases/housing/ ) is one of the most common datasets that are used by beginners. It is as popular as other datasets like Iris etc. Hence, it feels only natural that this dataset is a part of Flux.
Added src/data/housing.jl: code for downloading and loading the dataset
Edited src/data/Data.jl: To include and export housing.jl
Edited test/data.jl: Added test for the dataset.
*All tests in test/data.jl are passing*
Co-authored-by: pranjaldatta <pranjaldatta99@gmail.com>
Co-authored-by: Pranjal Datta <pranjaldatta99@gmail.com>
2020-02-29 15:54:34 +00:00
Carlo Lucibello
425fcdbe69
NNlib docs + misc docs improvements
2020-02-29 11:14:48 +01:00
Adarsh Kumar
8afed01345
Apply suggestions from code review
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Co-Authored-By: David Lung <lungd@users.noreply.github.com>
2020-02-27 23:23:53 +05:30
Adarsh Kumar
9dce623214
Updated Msle loss
2020-02-27 16:26:17 +05:30
Adarsh Kumar
980ce72914
Added tversky and dice loss
2020-02-27 02:00:28 +05:30
CarloLucibello
759fe9df2f
update docs and export update!
2020-02-26 20:27:39 +01:00
pranjaldatta
569021a9f1
added newlines at end of file
2020-02-26 15:05:23 +05:30
bors[bot]
55616afc11
Merge #960
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960: Added utility function outdims to compute output dimensions of a layer r=dhairyagandhi96 a=darsnack
Based on Slack chatter, I added a utility function, `outdims`, that computes the output dimensions for given input dimensions.
Example
```julia
layer = Conv((3, 3), 3 => 16)
outdims(layer, (10, 10)) # returns (8, 8)
```
Co-authored-by: Kyle Daruwalla <daruwalla@wisc.edu>
2020-02-25 17:40:05 +00:00
Bulat Suleymanov
db4eaf254b
Edit description of convolutional layer
2020-02-24 13:16:51 +05:00
Dhairya Gandhi
88b0c65d72
Merge pull request #1035 from matsueushi/remove_get_macro
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Remove get! macro
2020-02-20 12:58:16 +05:30
bors[bot]
e4a84c120f
Merge #1021
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1021: nograd for onecold, onehot, onehotbatch r=MikeInnes a=CarloLucibello
fixes #1020
Co-authored-by: CarloLucibello <carlo.lucibello@gmail.com>
2020-02-17 14:12:48 +00:00
matsueushi
6ea7b95384
Remove unused using
2020-02-15 20:06:15 -05:00
Marco
ae0455517a
Remove outdated reference to truncate!
2020-02-10 00:03:11 -08:00
pranjaldatta
197a1a70c0
added BostonHousing dataset and testing
2020-02-07 03:47:19 +05:30
CarloLucibello
6499344af3
nograd for onecold, onehot, onehotbatch
2020-02-06 15:41:46 +01:00
Adarsh Kumar
7710bb0b4b
Removed spurious promotions
2020-02-06 01:06:41 +05:30
Adarsh Kumar
b5184553d4
Error correction in mae
2020-02-05 23:32:55 +05:30
Adarsh Kumar
643086c8db
Updated squared_hinge
2020-02-05 22:40:07 +05:30
Adarsh Kumar
7ac647a7ac
Added loss functions
2020-02-05 22:29:15 +05:30
Tim Besard
d88f63adb4
Remove unused imports.
2020-01-29 12:15:41 +01:00
bors[bot]
d1edd9b16d
Merge #680
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680: Added new loss functions. r=thebhatman a=thebhatman
I have added the KL Divergence Loss function, Poisson loss function, Logcosh loss, and Hinge loss function.
Co-authored-by: Manjunath Bhat <manjunathbhat9920@gmail.com>
Co-authored-by: thebhatman <manjunathbhat9920@gmail.com>
2020-01-13 15:46:25 +00:00
Mike J Innes
17732e7023
restructure; closes #747
2020-01-06 11:53:47 +00:00
Kyle Daruwalla
0cdd11c0dc
Added tests for varying padding, stride, and dilation with outdims.
2019-12-07 14:05:50 -06:00
Kyle Daruwalla
a64378b112
Switched to using NNlib for conv.jl outdims.
2019-12-07 13:21:26 -06:00
Kyle Daruwalla
6265b1fa39
Added tests for outdims
2019-12-05 22:54:25 -06:00
Kyle Daruwalla
31dda0ce6c
Updated with all basic and conv layers outdims
2019-12-05 21:57:10 -06:00
Kyle Daruwalla
b4ed16ad9c
Added outdims for some basic layers
2019-12-03 22:48:48 -06:00
Fredrik Bagge Carlson
e67f09c06d
Correct some comments in decay docs
2019-12-03 15:32:23 +08:00
Fredrik Bagge Carlson
6e94e59afd
Improve docs for decay optimisers
2019-12-03 15:27:44 +08:00
bors[bot]
90a38a3201
Merge #937
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937: Fix Glorot initialization, add He initialization r=MikeInnes a=Sleort
Should fix #442 .
Adds He weight initialization as a bonus :-)
Co-authored-by: Troels Arnfred Bojesen <tr-ab@online.no>
2019-11-26 16:17:06 +00:00
bors[bot]
fb4a48f970
Merge #943
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943: Fixes #900 r=MikeInnes a=dhairyagandhi96
Thoughts on the test?
cc @MikeInnes
Co-authored-by: Dhairya Gandhi <dhairya@juliacopmuting.com>
2019-11-26 15:09:27 +00:00
Dhairya Gandhi
59bb0d81b0
add TODO
2019-11-26 16:23:09 +05:30
Mike J Innes
4c69b44a7c
Merge pull request #940 from matsueushi/feature/cuda-logitbc
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Fix logitbinarycrossentropy on CuArrays
2019-11-26 10:18:07 +00:00
Tim Besard
fbb377a7b4
Merge pull request #941 from FluxML/tb/include_during_precompile
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Don't include the CUDA module during precompilation.
2019-11-24 08:55:43 +01:00
Dhairya Gandhi
5f21238d1a
no grad dims helper
2019-11-24 13:25:02 +05:30
Tim Besard
4ece13c649
Don't include the CUDA module during precompilation.
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If we do, we could end up replacing it at runtime.
2019-11-22 18:03:51 +01:00
matsueushi
a0314ce682
Fix logitbinarycrossentropy on CuArrays
2019-11-22 05:23:24 +00:00
Troels Arnfred Bojesen
af96a197c1
Fix Glorot initialization
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Should fix #442
2019-11-20 13:20:42 +09:00
Mike J Innes
5839e166f6
Merge pull request #860 from dsweber2/activations
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Activations
2019-11-19 16:44:25 +00:00
Tim Besard
2fa3e5673e
Merge pull request #924 from FluxML/tb/cuda_init
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CUDA package initialization improvements
2019-11-19 16:48:45 +01:00
Tim Besard
c45cec4cba
Simplify warning.
2019-11-19 16:05:41 +01:00
Tim Besard
69bf84278f
Remove wrong warning.
2019-11-19 15:53:43 +01:00