Following my last post on using tensorflow for linear
regression,
in this post I am going to extend the scope to generalized linear models.
>>> import tensorflow as tf
>>> import tensorflow_probability as tfp
>>> tfd = tfp.distributions
>>> from tensorflow.keras import layers
Let us simulate some data first.