Speaker "Jeremiah Johnson" Details

Name :
jeremiah johnson
Title :
Topic :

Cheating at Deep Learning: Quick Prototyping using Keras

Abstract :

Getting satisfactory results from a deep learning model often requires experimentation and fine-tuning. This process can be time-consuming and slow, leading to less than optimal results. In this talk, we'll demonstrate how the high-level Keras library can be used to quickly build, train, and validate deep neural networks for a variety of different tasks, ranging from image analysis to natural language processing.

Profile :
Machine learning researcher, Founder and Principal of Gorilla Data Science LLC, a data science consulting firm based in southern New Hampshire. Ph.D in mathematics (area of research computational abstract algebra). Expert predictive modeler. Research in deep learning and large-scale machine learning. I instruct courses in programming, computer science, mathematics, statistics, and analytics at the Bachelor and the Master level. Many of the courses I teach are part of the Analytics Bachelor of Science program at the University of New Hampshire - Manchester, an innovative, forward-thinking program that I developed and now direct. This program is one of only a handful of face-to-face undergraduate-level analytics programs in the nation. Fundamentally, I believe in scientific, data-driven decision-making, and I am passionate about encouraging the scientific approach to almost every endeavor.

Get latest updates of Global Data Science Conference
sent to your inbox.

Weekly insight from industry insiders.
Plus exclusive content and offers.