Narinder Singh Punn

neural networks machine learning deep learning data transformation loss functions model optimization histograms of intensity values model interpretation python programming performance metrics image preprocessing covid-19 cxr dataset gradcam visualization tensorboard data visualization model testing model training multi-class classification binary classification pytorch easy implementation research paper sources repository links practical implementation black box problem github code improved decision making convolution neural network segmentation classification computer vision rationale of the predictions explainability of models code snippets visualization interpretability ai