Listen free for 30 days

Listen with a free trial

One credit a month, good for any title to download and keep.
Unlimited listening to the Plus Catalogue - thousands of select Audible Originals, podcasts and audiobooks.
Exclusive member-only deals.
No commitment - cancel anytime.
Buy Now for £13.79

Buy Now for £13.79

Pay using card ending in
By completing your purchase, you agree to Audible's Conditions of Use and authorise Audible to charge your designated card or any other card on file. Please see our Privacy Notice, Cookies Notice and Interest-based Ads Notice.


This course provides a detailed executive-level review of contemporary topics in graph modeling theory with specific focus on Deep Learning theoretical concepts and practical applications. The ideal student is a technology professional with a basic working knowledge of statistical methods.   

Upon completion of this review, the student should acquire improved ability to discriminate, differentiate, and conceptualize appropriate implementations of application-specific ("traditional" or "rule-based") methods versus deep learning methods of statistical analyses and data modeling. Additionally, the student should acquire improved general understanding of graph models as deep learning concepts with specific focus on state-of-the-art awareness of deep learning applications within the fields of character recognition, natural language processing, and computer vision. Optionally, the provided code base will inform the interested student regarding basic implementation of these models in Keras using Python (targeting TensorFlow, Theano, or Microsoft Cognitive Toolkit).

As an "executive review", this audiobook presents a distillation of essential information without the clutter of formulae, charts, graphs, references, and footnotes. Thus, the student will not have a "textbook" experience (or expense) while reviewing its contents. Instead, the student will quickly pass through a surprising wealth of actionable, easily-digestible technological information without the distraction of extemporaneous considerations.

©2018 Stephen Donald Huff (P)2019 Stephen Donald Huff

What listeners say about Graph Models for Deep Learning: An Executive Review of Hot Technology

Average customer ratings

Reviews - Please select the tabs below to change the source of reviews.