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README.md

Classification wit PyTorch/TensorFlow

Lab Assignment from AI for Beginners Curriculum.

Task

Solve two classification problems using single and multi-layered fully-connected networks wit PyTorch or TensorFlow:

  1. Iris classification problem - na example of problem wey get tabular input data, wey classical machine learning fit handle. Your goal na to classify irises into 3 classes, based on 4 numeric parameters.
  2. MNIST handwritten digit classification problem wey we don see before.

Try different network architectures to get di best accuracy wey you fit achieve.

Stating Notebook

Start di lab by opening LabFrameworks.ipynb

Disclaimer:
Dis docu don dey translate wit AI translation service Co-op Translator. Even though we dey try make am accurate, abeg sabi say automated translation fit get mistake or no correct well. Di original docu for im native language na di main correct source. For important information, e good make una use professional human translation. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because of dis translation.