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auto-encoders

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Used the Functional API to built custom layers and non-sequential model types in TensorFlow, performed object detection, image segmentation, and interpretation of convolutions. Used generative deep learning including Auto Encoding, VAEs, and GANs to create new content.

  • Updated Jun 9, 2021
  • Jupyter Notebook

My research work with a proof of concept for Image Restoration of motion-blurred images in Real-time using data augmentation and specific architecture of Deep Autoencoder network (inspired from U-Net model) with CNN layers. (Studied extensive use of functional APIs for custom layers, loss, and metrics, effects of regularization & Hyperparams opt…

  • Updated Jun 24, 2022
  • Jupyter Notebook

Explore Network Anomaly Detection Project 📊💻. It achieves an exceptional 99.7% accuracy through a blend of supervised and unsupervised learning, extensive feature selection, and model experimentation. Stunning data visualizations using synthetic network traffic data offer insightful representations of anomalies, enhancing network security.

  • Updated Apr 6, 2024
  • Jupyter Notebook

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