Bayes Theorem, maximum likelihood estimation and TensorFlow Probability
A growing trend in deep learning (and machine learning in general) is a probabilistic or Bayesian approach to the problem. Why is this? Simply put – a standard deep learning model produces a prediction, but… Read More »Bayes Theorem, maximum likelihood estimation and TensorFlow Probability