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multi-class-classification

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A collection of Jupyter notebooks containing various MNIST digit and fashion item classification implementations using fully-connected and convolutional neural networks (CNNs) built with TensorFlow and Keras. 2020.

  • Updated Nov 12, 2020
  • Jupyter Notebook

The aim of this project is to build a multi-class classification model which is trained on tweets that convey one of the following emotions: joy, sadness, anger or fear. The task is also a single-label classification since each sample requires one label (emotion). Final conclusions are reported in the jupyter notebook file.

  • Updated Aug 26, 2024
  • Jupyter Notebook

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