Neuralnetlib

- refactor: make utils functions more robust
- ci: bump version to 2.4.2
- ci: remove useless develop option (changed my mind)
- Merge pull request 36 from marcpinet/refactor-more-robust-utils

- feat: add version management for both main and develop
- ci(test): bump version to 2.4.1
- Merge pull request 35 from marcpinet/develop

- fix: indentation
- ci: bump version to 2.4.0
- Merge pull request 34 from marcpinet/refactor-typo
- fix: none exception on iterable
- Merge pull request 33 from marcpinet/fix-callback-baseline-stop-training
- feat: add EarlyStopping and reformat code
- feat: some improvements
- refactor: more robust approach
- Merge pull request 32 from marcpinet/feat-earlystopping
- refactor: switch to dict pattern instead of if-else garbage block
- Merge pull request 31 from marcpinet/refactor-better-compat-handling
- docs: update readme
- Merge pull request 29 from marcpinet/docs-update-layers
- feat: add AveragePooling2D
- feat: add AveragePooling1D
- Merge pull request 30 from marcpinet/feat-averagepooling-layers

- feat: add Conv1D, MaxPooling1D, Embedding
- refactor: rename train to fit and add layers compat checks
- ci: remove useless .bat
- refactor: fixes and improvements
- refactor: update code for latest changes
- feat: add BatchNormalization
- ci: bump version to 2.3.0
- Merge pull request 28 from marcpinet/feat-more-layers

- refactor: add seed to dropout too
- ci: bump version to 2.2.1
- Merge pull request 27 from marcpinet/refactor-dropout-seed

- docs: update readme
- Merge pull request 25 from marcpinet/docs-update-readme
- docs: change examples to notebook
- feat: add StandardScaler and MinMaxScaler
- ci: bump version to 2.2.0
- Merge pull request 26 from marcpinet/docs-change-examples-to-notebooks