I’m very familiar with Keras and would like to start implementing some of my models within a Bayesian framework. My understanding of Bayesian statistics is mediocre at best and wanted to further develop my understanding of Bayesian modeling using a mixture of Keras and Edward.
Are there any books or other resources that show how to use Edward with Keras for both simple and complex examples?
I’ve found 2 thus far:
http://cbonnett.github.io/MDN_EDWARD_KERAS_TF.html