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convolutional-layers

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This code trains a CNN in Keras to classify cell images (infected/uninfected). It sets up data generators, defines model architecture with convolutional layers, applies regularization, configures callbacks, and trains the model for binary classification.

  • Updated Apr 18, 2024
  • Python

A CNN is a kind of network architecture for deep learning algorithms and is specifically used for image recognition and tasks that involve the processing of pixel data. This repository contains the code for CNN with a categorical classification dataset.

  • Updated Jul 23, 2023
  • Python

In this project we have explored the use of imaging time series to enhance forecasting results with Neural Networks. The approach has revealed itself to be extremely promising as, both in combination with an LSTM architecture and without, it has out-performed the pure LSTM architecture by a solid margin within our test datasets.

  • Updated Jul 6, 2023
  • Python
MixHop-and-N-GCN

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