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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
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

Training Rate
$1,315.00

Discounted Training Rates
$1,075.00 - NIH Community (Trainees, Employees, Contractors, Volunteers, etc.)

$1,195.00 - Academia, US Government, US Military

Technology Fee
$60.00

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 2.8 CEUs.

Refund Policy
100% tuition refund for registrations cancelled 14 or more calendar days prior to the start of the workshop.

50% tuition refund for registrations cancelled between 4 to 13 calendar days prior to the start of the workshop.

No refund will be issued for registrations cancelled 3 calendar days or less prior to the start of the workshop.

Notification
All cancellations must be received in writing via email to Ms. Carline Coote at 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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Click in the Box Below for Schedule and Fee Information. Then Click on "Add to Cart" to Register.

Section Title
Introduction to Deep Learning
Type
Online
Days
T, W, Th, F
Time
9:00AM to 5:00PM
Dates
Apr 27, 2021 to Apr 30, 2021
Schedule and Location
Contact Hours
32.0
Location
  • ONLINE
Fee (Includes Tuition and Technology Fee)
Eligible Discounts Can Be Applied at Checkout $1,375.00
Drop Request Deadline
Apr 20, 2021
Transfer Request Deadline
Apr 20, 2021
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