Tensorflow Quantizaiton
During inference, precision in floats is not needed and can be reduced to using 8 bits instead of 32 bits this allows to bin continuous …
Tag: quantization
K-Means Clustering
k-means clustering is a method of vector quantization which finds good inter similarity between cluster members and intra-similarity between other clusters. k-means clustering partitions n …