Successfully trained & compressed 2 reference neural networks (ANN & CNN) on the MNIST dataset using a custom LC-toolkit in Python, resulting in no accuracy change before and after compression in a team of 4. Used AdaptiveQuantization, L0ConstrainedPruning and RankSelection compressions resulting in error of 1.33 & 0.59 respectively (ANN & CNN)
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