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transfer-learning-with-cnn

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A Deep Learning Humerus Bone Fracture Detection Model which classifies a broken humerus bone X-ray image from a normal X-ray image with no fracture using Back Propagation, Regularization, Convolutional Neural Networks (CNN), Auto-Encoders (AE) and Transfer Learning.

  • Updated Jun 2, 2020
  • Jupyter Notebook
Capstone_AcousticEnvironment-DeepNeuralNet

Deep neural network model combining audio signal processing and pre-trained audio CNN achieved 90.1% adjusted accuracy (27.6% improvement) for classifying audio recording environment.

  • Updated Mar 25, 2023
  • Jupyter Notebook

An end-to-end multi-class image classification system(web app) that classifies 101 classes of food. I'll be implementing the popular CNN architecture while utilizing the full power of transfer learning to extract features and fine-tune layers. I'll also build an interactive UI using react-js and deploy the system.

  • Updated Aug 22, 2022
  • Jupyter Notebook

Photo sharing and photo storage services like to have location data for each photo that is uploaded. With the location data, these services can build advanced features, such as automatic suggestion of relevant tags or automatic photo organization, which help provide a compelling user experience.

  • Updated Oct 14, 2023
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