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Classification with PyTorch/TensorFlow

Lab Assignment from AI for Beginners Curriculum.

Task

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

  1. Iris classification problem - an example of problem with tabular input data, which can be handled by classical machine learning. You goal would be to classify irises into 3 classes, based on 4 numeric parameters.
  2. MNIST handwritten digit classification problem which we have seen before.

Try different network architectures to achieve the best accuracy you can get.

Stating Notebook

Start the lab by opening LabFrameworks.ipynb