Quantized vs Distilled Neural Models: A Comparison
A dive into the techniques of quantizing and distilling deep learning models: What are they and how do they differ?
Desiderata
A timeless meditation on life's profound truths
Loss Functions for Multi-label and Multi-class Classification
Choosing the right TensorFlow loss for multi-label vs. multi-class tasks; A guide