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Pradumna's Projects

asl_cnn_rnn icon asl_cnn_rnn

Built a CNN+RNN Architecture to train the model on temporal as well as the spatial features of video sequence. • Trained CNN model to make predictions for individual frames to obtain a sequence of predictions or pool layer outputs for each video. Outputs was now given to RNN to train on the temporal features.

blockchain-specialization icon blockchain-specialization

Contains smart contracts and projects developed during the Blockchain Specialization by University at Buffalo & The State University of New York.

coursera-advanced-algorithms-and-complexity icon coursera-advanced-algorithms-and-complexity

This course talks about networks flows which are used in more obvious applications such as optimal matchings, finding disjoint paths and flight scheduling as well as more surprising ones like image segmentation in computer vision. It then proceed to linear programming with applications in optimizing budget allocation, portfolio optimization, finding the cheapest diet satisfying all requirements, call routing in telecommunications and many others. Next discussing inherently hard problems for which no exact good solutions are known (and not likely to be found) and how to solve them in practice.

coursera-dsa icon coursera-dsa

Coursera's Data Structures and Algorithms Specialization

datasciencectacontent icon datasciencectacontent

repository for Community Mentor content related to the Johns Hopkins University Data Science Specialization on Coursera

dl4fli icon dl4fli

Deep Learning for Fluorescence Lifetime Imaging

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