Archives for CNN for better understanding
it is convenient to not change the size of output or keep the dimensions of input and output the same. This can be achieved by the transposed convolution in a better way
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The COVID-19 outbreak has spotlighted the need for responsive and transparent systems for monitoring health. Good health information has never been crucial. Researchers from Aalto University, Umea University and KTH Royal Institute of Technology investigated the effectiveness of explainable artificial intelligence approaches for decision-making in medical image analysis. Three machine learning methods, including LIME, SHAP…
The post Explainable AI For Decision Making Systems In Medical Domain appeared first on Analytics India Magazine.