18 lines
796 B
Markdown
18 lines
796 B
Markdown
# Classification with PyTorch/TensorFlow
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Lab Assignment from [AI for Beginners Curriculum](https://github.com/microsoft/ai-for-beginners).
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## Task
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Solve two classification problems using single- and multi-layered fully-connected networks using PyTorch or TensorFlow:
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1. **[Iris classification](https://en.wikipedia.org/wiki/Iris_flower_data_set)** 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.
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1. **MNIST** handwritten digit classification problem which we have seen before.
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Try different network architectures to achieve the best accuracy you can get.
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## Stating Notebook
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Start the lab by opening [LabFrameworks.ipynb](LabFrameworks.ipynb)
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