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Weight Initialization, GNum class and NFData instances #69

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Weight Initialization, GNum class and NFData instances #69

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Commits on Feb 14, 2018

  1. Num instance for Gradients

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  2. NMult class for scalar multiplication and some instances

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Commits on Feb 15, 2018

  1. removed fromInteger/fromRational implementations as they make no sense

    @schnecki
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  2. reexporting of sinusoid

    @schnecki
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  3. started BatchNorm layer

    @schnecki
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Commits on Feb 16, 2018

  1. update BatchNorm

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Commits on Feb 27, 2018

  1. Num and Fractional instance of Softmax

    @schnecki
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Commits on Feb 28, 2018

  1. Gradients fromInteger implementation

    @schnecki
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  2. FullyConnected uniform initialization by nr of input nodes

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  3. FullyConnected uniform initialization by nr of input nodes

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Commits on Mar 27, 2018

  1. GNum class for calculating with networks and gradients

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Commits on Mar 28, 2018

  1. added gFromRational

    @schnecki
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  2. updated comments

    @schnecki
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  3. Merge branch 'master' of https://github.com/schnecki/grenade

    @schnecki
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  4. added GNum inst. for Trivial,removed unnecessary code for Network

    @schnecki
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  5. typo

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Commits on Apr 22, 2018

  1. rnf (Control.DeepSeq.NFData) instances for Layers, Network and Gradients

    @schnecki
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Commits on Jun 5, 2018

  1. weight init test app

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Commits on Jun 15, 2018

  1. weight initialization implemented

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  2. weight initialization implemented (comment update)

    @schnecki
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Commits on Jun 18, 2018

  1. moved to MWC random

    @schnecki
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  2. added missing GNum instances

    @schnecki
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  3. Merge branch 'master' into master

    @schnecki
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Commits on Jun 27, 2018

  1. removed unnecessary constraint in createRandom

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Commits on Nov 29, 2018

  1. NFData instance for Tapes

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Commits on Dec 1, 2018

  1. Learning Parameters NFData instance

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Commits on Jan 7, 2019

  1. natVal imports and no max versions in cabal file

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Commits on Jun 17, 2019

  1. serialize instance for LearningParameters

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Commits on Jun 21, 2019

  1. version for bytestring

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  2. removed versions for grenade-examples

    @schnecki
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Commits on Jun 25, 2019

  1. removed upper version numbers

    @schnecki
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  2. Merge branch 'master' of https://github.com/schnecki/grenade

    @schnecki
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Commits on Oct 12, 2019

  1. Merge branch 'master' of github.com:HuwCampbell/grenade into HEAD

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Commits on Nov 27, 2019

  1. safe type of network using typeable (WIP)

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Commits on Jan 18, 2020

  1. travis: Use ghc 8.6.5

    @erikd
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  2. grenade.cabal: Add upper bound for typelits-witnesses

    @erikd
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  3. Bump upper bounds of dependencies

    @erikd
    erikd committed Jan 18, 2020
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Commits on Jan 19, 2020

  1. Update .gitignore

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  2. Test.Grenade.Recurrent.Layers.LSTM: Fix compiler warning

    @erikd
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  3. Drop support for GHC < 8.0

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Commits on Jan 22, 2020

  1. Grenade.Core.Shape: Fix for ghc 8.8 

    For version 2.6 of the singletons library (which is version locked to
the GHC version) switched the 'Sing' type from a data family to a
type family.

This commit uses CPP hackery to workaround this change.

Closes: HuwCampbell#94
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  2. travis: Add ghc 8.8.2 and switch to cabal-3.0

    @erikd
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Commits on Jan 23, 2020

  1. Fix compiler warning

    @erikd
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Commits on Jan 26, 2020

  1. examples: Use CPP to support multiple GHC versions

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Commits on Mar 30, 2020

  1. Add stack.yaml

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Commits on Apr 10, 2020

  1. Num instance for Gradients

    @schnecki
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  2. NMult class for scalar multiplication and some instances

    @schnecki
    schnecki committed Apr 10, 2020
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  3. removed fromInteger/fromRational implementations as they make no sense

    @schnecki
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  4. reexporting of sinusoid

    @schnecki
    schnecki committed Apr 10, 2020
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  5. started BatchNorm layer

    @schnecki
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  6. update BatchNorm

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  7. Num and Fractional instance of Softmax

    @schnecki
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  8. Gradients fromInteger implementation

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  9. FullyConnected uniform initialization by nr of input nodes

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  10. FullyConnected uniform initialization by nr of input nodes

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  11. GNum class for calculating with networks and gradients

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  12. updated comments

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  13. added gFromRational

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  14. added GNum inst. for Trivial,removed unnecessary code for Network

    @schnecki
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  15. typo

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  16. rnf (Control.DeepSeq.NFData) instances for Layers, Network and Gradients

    @schnecki
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  17. weight init test app

    @schnecki
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  18. weight initialization implemented

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  19. weight initialization implemented (comment update)

    @schnecki
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  20. moved to MWC random

    @schnecki
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  21. added missing GNum instances

    @schnecki
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  22. removed unnecessary constraint in createRandom

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  23. NFData instance for Tapes

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  24. Learning Parameters NFData instance

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  25. natVal imports and no max versions in cabal file

    @schnecki
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  26. serialize instance for LearningParameters

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  27. version for bytestring

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  28. safe type of network using typeable (WIP)

    @schnecki
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  29. improved readability

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  30. rebase to latest grenade version

    @schnecki
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  31. Merge branch 'master' of https://github.com/schnecki/grenade

    @schnecki
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  32. renamed weight init example

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  33. removed scaling of Concat layers in GNum instance

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  34. Fixed NoStarIsType by using it in the package.yaml

    @schnecki
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  35. removed GHC.Natural dependency

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  36. using latest singleton and GHC.TypeLits.Witnesses libraries

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Commits on Apr 13, 2020

  1. Dynamic Layer Module

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  2. changed travis for GHC >= 8.6

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  3. stack travis fiel

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  4. update travis and readme

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  5. travis added blas and lapack

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  6. ToDynamicLayer, FromDynamicLayer implementations for (De-)convolution… 

    … and Dropout
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  7. Elu instance

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  8. To/FromDynamicLayer activation functions

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  9. travis update

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Commits on Apr 14, 2020

  1. Dynamic layer generation and specification. Boot files for deserialis… 

    …ing required.
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  2. example for dynamic specifications

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  3. removed unnecessary code

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  4. changed travis file

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  5. changed travis file

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  6. code cleanup

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  7. Remove use of RecordWildCards

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  8. removed Werror from tests

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Commits on Apr 15, 2020

  1. fixed show instance of SpecNet and using typeRef for serialization

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  2. changed travis file to only use Werror on library

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  3. travis file update

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  4. travis file update

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  5. travis file update

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  6. New class to move momentum dependency in layers and introduced optimi… 

    …zer type
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  7. fixed FullyConnected test

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Commits on Apr 16, 2020

  1. added benchmark for feedforward

    @schnecki
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  2. spec instance for reshape

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  3. Adam implementation for feedforward ANNs

    @schnecki
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  4. added some Strict Data Fields

    @schnecki
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  5. added default implementation for Adam

    @schnecki
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  6. Forcing in gan-mnist example

    @schnecki
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  7. benchmarks for Adam optimizer

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Commits on Apr 17, 2020

  1. choose between Float and Double, more performant implementation for Adam

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  2. typo

    @schnecki
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  3. set default to use Double precision

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  4. updated Readme, removed unnecessary commented code

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  5. moved Werror to under debug flag

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  6. Serialize instance for Optimizer

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  7. Serialize instance for Optimizer

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  8. Serialize instance for Optimizer

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  9. Serialize instance for Optimizer

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  10. Serialize instance for Optimizer

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  11. Serialize instance for Optimizer

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  12. Serialize instance for Optimizer

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  13. Merge branch 'master' of github.com:schnecki/grenade

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  14. singletons version

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  15. serialize instance of opt for singletons < 2.6

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  16. NFData instance for Optimizer

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  17. travis update to ignore unused imports

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  18. optimizer

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  19. optimizer concrete instances

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  20. removed overlapping instances

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  21. removed unnecessary import

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  22. exporting instances

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  23. singleton instances added

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  24. CPP directive for import

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  25. travis ubdate

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Commits on Apr 18, 2020

  1. Renamed user defined F (Double or Float) variable to RealNum

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  2. changed travis to run with Werror on greande package only

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  3. set precision on prop_auto_diff to 4 after an error with travis

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  4. more constraints for SpecConcreteNetwork

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  5. more constraints for SpecConcreteNetwork

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  6. implemented dropout layer and fixed dimensions to 1 if not used

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Commits on Apr 19, 2020

  1. Dropout fix

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Commits on Apr 20, 2020

  1. fixed all GNum instances, adapted rnf for ListStore

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  2. removed unnecessary import

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  3. refactored DynamicNetwork in own subfolder

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  4. function to update network settings

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  5. interface for building models

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  6. fixed bug introduced in last commit

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Commits on Apr 21, 2020

  1. fixed reshape specification bug

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Commits on Apr 22, 2020

  1. Typeable constraints for DynamicNetwork

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Commits on Apr 23, 2020

  1. Serializable gradients and NFData and Serialize for SpecNetwork

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  2. added option to print/not print built network specification

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Commits on Apr 25, 2020

  1. ListStore updated rnf instances

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Commits on May 2, 2020

  1. implemented Gradient clipping

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  2. Weight Decay for Adam optimizer

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  3. Weight Decay for Adam optimizer

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Commits on May 4, 2020

  1. added LeakyRelu activiation function

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Commits on May 7, 2020

  1. Added Gelu activation function

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  2. readme update

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    schnecki committed May 7, 2020
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  3. fixed readme

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Commits on May 9, 2020

  1. fixed readme + weight initialization analysis report

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Commits on May 18, 2020

  1. added parallel strategies in Network.hs

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  2. removed redundant constraints

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Commits on Jun 2, 2020

  1. Eq and Ord instances for Optimizer

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  2. Createable network constraints

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Commits on Nov 6, 2020

  1. using lts-16.20

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  2. update travis

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  3. removed extra-deps

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  4. readded extra-deps

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Commits on Nov 7, 2020

  1. wip hablas/cblas

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Commits on Nov 9, 2020

  1. slicedRelu

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Commits on Nov 10, 2020

  1. fast implementation for vector based shapes

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Commits on Nov 11, 2020

  1. update for CBLAS implementation

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Commits on Nov 12, 2020

  1. direct calls to BLAS (not CBLAS)

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  2. updated travis settings

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  3. renamed CBLAS -> BLAS, travis Werror on latest only

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  4. fixed test building problems

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  5. improvement of BLAS

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  6. inplace operations for all shapes

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Commits on Nov 18, 2020

  1. CUDA implementation of Adam optimizer

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  2. using unsafeWith gves a speedup

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Commits on Nov 19, 2020

  1. update travis to install nvidia-cuda-toolkit

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  2. eficient shape conversion functions

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    schnecki committed Nov 19, 2020
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  3. travis update

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  4. update travis cuda path

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  5. n2 implementation Num Shape.

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Commits on Nov 20, 2020

  1. wip new function: sumG

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  2. minor updates

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Commits on Nov 30, 2020

  1. fixed relu

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Commits on Dec 1, 2020

  1. minor updates

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Commits on Dec 9, 2020

  1. minor

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Commits on Dec 10, 2020

  1. updated serialise

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Commits on Dec 17, 2020

  1. export of CUDA_HOME in .travis.yml

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Commits on Dec 18, 2020

  1. switched to travis-ci.com

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Commits on Dec 30, 2020

  1. fixed bench.hs intialisation

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Commits on Jan 4, 2021

  1. leaky Tanh Layer

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Commits on Jan 5, 2021

  1. LeakyTanh layer for all shapes

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  2. bug fix specification LeakyTanh

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Commits on Jan 9, 2021

  1. sumVectors CPU function

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Commits on Jan 11, 2021

  1. added cbits files to package.yaml

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Commits on Feb 10, 2021

  1. removed zipWithVectorInPlaceSnd from GNum

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Commits on Mar 15, 2021

  1. disable CUDA

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Commits on Oct 2, 2021

  1. update to new c2hs version (bug fix)

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Commits on Feb 16, 2023

  1. GHC 9

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