Semi-supervised learning using varitional autoencoders results

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The model trained on data size of 5714 and 36 classes didn’t perform that good. I tried with approaches based on unlabeled data as well as fully labeled data, however, the accuracy still remained low. The graphs are attached as follows :

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enter image description here X-axis denotes number of epochs while y-axis denotes accuracy and loss respectively.

The code for the above can be found at :

The architecture of the model is broadly :

enter image description here The papers and references that were followed for this :