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Improve FNN Layer and Model Performance #610

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sibre28 opened this issue Apr 4, 2024 · 1 comment · Fixed by #616
Closed

Improve FNN Layer and Model Performance #610

sibre28 opened this issue Apr 4, 2024 · 1 comment · Fixed by #616
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performance 🏃 Speed things up released Included in a release

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@sibre28
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sibre28 commented Apr 4, 2024

Is your feature request related to a problem?

Currently our model is doing fine performancewise, since we just support FNN-Layers. But since we will also implement CNNs, which partly depend on FNN-Layers it is important for them to be performance-optimal, since small suboptimal implementations that don't really impact FNNs, will have a huge impact on computing time when working with Images.

Desired solution

Rework some code parts to optimize computing time and fix some bugs, everything discussed with @Marsmaennchen221

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@sibre28 sibre28 added the enhancement 💡 New feature or request label Apr 4, 2024
@github-project-automation github-project-automation bot moved this to Backlog in Library Apr 4, 2024
@sibre28 sibre28 changed the title Improve FNN Layer and Model Performance and remove some bugs Improve FNN Layer and Model Performance Apr 4, 2024
@Marsmaennchen221 Marsmaennchen221 added performance 🏃 Speed things up and removed enhancement 💡 New feature or request labels Apr 5, 2024
@sibre28 sibre28 linked a pull request Apr 9, 2024 that will close this issue
Marsmaennchen221 added a commit that referenced this issue Apr 17, 2024
Closes #610 

### Summary of Changes

Fixed some bugs and improved the performance of some methods, there are
still some changes to be made but it is helpful to merge this now as
@Marsmaennchen221 and @Gerhardsa0 partly depend on it

---------

Co-authored-by: Alexander Gréus <[email protected]>
Co-authored-by: megalinter-bot <[email protected]>
Co-authored-by: Alexander <[email protected]>
Co-authored-by: WinPlay02 <[email protected]>
@github-project-automation github-project-automation bot moved this from Backlog to ✔️ Done in Library Apr 17, 2024
lars-reimann pushed a commit that referenced this issue Apr 17, 2024
## [0.21.0](v0.20.0...v0.21.0) (2024-04-17)

### Features

* add ARIMA model ([#577](#577)) ([8b9c7a9](8b9c7a9)), closes [#570](#570)
* Add ImageList class ([#534](#534)) ([3cb74a2](3cb74a2)), closes [#528](#528) [#599](#599) [#600](#600)
* more hash, sizeof and eq implementations ([#609](#609)) ([2bc0b0a](2bc0b0a))

### Performance Improvements

* Add special case to `Table.add_rows` to increase performance ([#608](#608)) ([ffb8304](ffb8304)), closes [#606](#606)
* improve performance of model & forward layer ([#616](#616)) ([e856cd5](e856cd5)), closes [#610](#610)
* lazily import our modules and external libraries ([#624](#624)) ([20fc313](20fc313))
* treat Tables specially when calling add_rows ([#606](#606)) ([e555b85](e555b85)), closes [#575](#575)
@lars-reimann
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🎉 This issue has been resolved in version 0.21.0 🎉

The release is available on:

Your semantic-release bot 📦🚀

@lars-reimann lars-reimann added the released Included in a release label Apr 17, 2024
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