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  • Reparameterization layers

  • DenseVariational Layers

  • Probabilistic Layers

  • The DistributionLambda Layer

  • Maximum Likelihood Estimation - how neural networks learn

  • Trainable Distributions

  • Naive Bayes and logistic regression

  • Sampling and log probs

  • Broadcasting Rules in Tensorflow Probability

  • Independent Distribution

  • Multivariate Distribution

  • Univariate Distribution

  • The Power of Image Augmentation

  • Various way of Stock Data Analysis

  • Ridge-Lasso Regression