Workshops generally run from 9:00am - 5:00pm.
Simultaneous access to two screens is highly recommended for best learning experience. Examples include one computer with two screens, two computers, one laptop and one tablet, etc.
In the past decade, neural networks have become a valuable tool for data scientists, revolutionizing fields such as text processing, image analysis, genomic/proteomic data analysis, data clustering, and much more. However, these algorithms can be very difficult to understand, interpret, and program. This workshop will first cover the theory and proper applications of various neural networks (multilayer perceptrons, convolutional neural networks, long-short term memory models, autoencoders, etc.). From there, powerful deep learning packages, such as Pytorch and Keras, will be introduced. Proper coding techniques will be shown through examples and practiced through exercises that will be completed in the Python 3 programming language. Finally, concepts in data visualization and software engineering will be discussed, helping researchers use neural networks in an effective and reproducible way to improve the impact of projects with a computational component.
Who should Attend?
Anyone who does Computational work or is interested in machine learning/AI
Basic coding ability in Python, Java, or R
Introductory coding courses and workshops
BIOF 017 | Introductory R Boot Camp
BIOF 020 | Python for Beginners
BIOF 043 | For True BeginRs
Although no grades are given for courses, each participant will receive Continuing Education Units (CEUs) based on the number of contact hours. One CEU is equal to ten contact hours. Upon completion of the course each participant will receive a certificate, showing completion of the workshop and 2.8 CEUs.
This workshop applies toward the Bioinformatics Curiosity digital badge.
Follow the link to review Workshop Refund Policy.
- All cancellations must be received in writing via email to Ms. Carline Coote at firstname.lastname@example.org.
- Cancellations received after 4:00 pm (ET) on business days or received on non-business days are time marked for the following business day.
- All refund payments will be processed by the start of the initial workshop.