GitHub - saisriramyerubandi/unsupervised-learning: The aim of the project is to perform K-means clustering on the Cifar 10 dataset which is unsupervised learning. In this phase of the project our aim is to use autoencoders neural network architecture and generate encoded and decoded data. The sparse data generated by encoding part of the neural network model is used to generate clusters by using K-means algorithm. We even check how accurately we are able to generate the input image at the output layer in autoencoder architecture.

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The aim of the project is to perform K-means clustering on the Cifar 10 dataset which is unsupervised learning. In this phase of the project our aim is to use autoencoders neural network architecture and generate encoded and decoded data. The sparse data generated by encoding part of the neural network model is used to generate clusters by using…