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Course Description

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.

Overview

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

Prerequisite
Proficient in Python, Java, or R

Consider taking these courses or workshops first
BIOF 085 | Introduction to Data Science Using Python
BIOF 020 | Python for Beginners

Credit

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 2.1 CEUs.

This workshop applies toward the Bioinformatics Endeavor digital badge.

Refund Policy
Follow the link to review Workshop Refund Policy.

Notification

  • All cancellations must be received in writing via email to registrar@faes.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.
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To Register Click on "Add to Cart"
Section Title
Introduction to Deep Learning
Type
Online Synchronous
Days
Th
Time
9:00AM to 5:00PM ET
Dates
Nov 07, 2024 to Nov 21, 2024
Schedule and Location
View Details
Contact Hours
24.0
Location
  • ONLINE
Total Cost (Includes $75 non-refundable technology fee per course when applicable)
Eligible Discounts Can Be Applied at Checkout $1,344.00
Potential Discount(s)
CEUs
2.1 CEUs
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