Welcome to the weekly newsletter of Deep Learning AI and Blockchain Convergence. We hope that this newsletter will appeal to all those interested in Deep Learning developments and its relationship to decentralized consensus architectures.
An all-too-common scenario: a seemingly impressive machine learning model is a complete failure when implemented in production. The fallout includes leaders who are now skeptical of machine learning and reluctant to try it again. How can this happen?
Welcome to Part 2 of a blog series that introduces TensorFlow Datasets and
Estimators. We’re devoting this article to feature columns—a
data structure describing the features that an Estimator requires for training
and inference. As you’ll see, feature columns are very rich, enabling you to
represent a diverse range of data.