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Deep-learning-from-scratch-

  • Feed forward Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks written using numpy library including Pooling layers, Activation functions, Optimization layers, Batch normalization from scratch.

Solar Panel Image Project

  • Multi-class classification problem
  • Dataset with solar panels images containing cracks, inactive regions, cracks and inactive regions
  • Pretraining with ResNet architecture
  • Hyperparameter tuning, Global average pooling, Drop out layers
  • Checkpoints
  • Goal : Reach F1 score > 0.6
  • Reached a F1 Score of 0.87

[2023]