Deep Learning, Machine Learning, Python, TensorFlow, Artificial Intelligence.
residuals. Practical guidance to assess the cross-entropy loss: CE = 0.00 -> perfect match CE < 0.02 -> great match CE < 0.05 -> good CE < 0.20 -> acceptable CE < 0.30 -> not good CE < 1.00 -> bad CE > 2.00 -> horrible Label Smoothing It is a regularization technique commonly used in classification