punitha-valli Goto Github PK

distilling-the-knowledge-in-a-neural-network

Demonstration of transfer of knowledge and generalization with distillation

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.

punitha-valli

Config files for my GitHub profile.

python

python-clustering-exercises

Jupyter Notebook exercises for k-means clustering with Python 3 and scikit-learn

python_player

player level

unsupervised

unsupervised learning- cluster

unsupervised-image-retrieval

wide-residual-newtork-

Medical image classification is essential to store and retrieve large amount of data. Also to help doctors assisting instantaneously. Various approaches are provided in literature. Very good results are obtained using fuzzy inference system, some data mining techniques. But the best published results are using Local binary pattern(LBP) and Support vector machine(SVM). In this paper, we try to use a deep learning approach to classify medical images. A technique called WRN( Wide Residual Network) is implemented and tested using Image Retrieval in Medical Applications(IRMA) dataset.