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one-hot-encoding

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The aim of this project is to classify the faces. Olivetti Faces dataset has been used. In this dataset there are ten different images of each of 40 distinct subjects. For some subjects, the images were taken at different times, varying the lighting, facial expressions (open / closed eyes, smiling / not smiling) and facial details (glasses / no …

  • Updated Nov 26, 2019
  • Jupyter Notebook

The aim of this project is to classify the faces. Olivetti Faces dataset has been used. In this dataset there are ten different images of each of 40 distinct subjects. For some subjects, the images were taken at different times, varying the lighting, facial expressions (open / closed eyes, smiling / not smiling) and facial details (glasses / no …

  • Updated Nov 26, 2019
  • Jupyter Notebook

A web application that generates an image for corresponding textual description. The user is required to enter a text description of a scene. The application will then generate an image that best corresponds to this description. The application uses Generative Adversarial Networks (GANs) trained on a large dataset of images consisting of multipl…

  • Updated Dec 27, 2019
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