Category: Courses

Remote Sensing Data Processing and Deep Learning with PyTorch Workshop

The DataSENSE NRT project will sponsor a Remote Sensing Data Processing and Deep Learning with PyTorch workshop on Thursday, November 21, from 2-4 pm in the U. J. Noblet Forestry Building, Room 0139.

Register here.

Presenter: Tao Liu, Assistant Professor of AI4ClimateChange Lab in CFRES

Participants will engage in a 2-hour workshop to learn how to apply deep learning techniques for processing optical remote sensing (RS) data. The workshop will introduce:

  • The fundamentals of deep learning
  • Creation of deep learning models from scratch
  • Use of pre-trained models for image classification and image segmentation

Target Audience: This content is designed for individuals with basic Python coding experience who are new to deep learning, but eager to learn and apply these models.

Date/Time: November 21, 2-4 pm

Location:

  • In-person: U.J.Noblet Forestry Building 0139
    (10 seats available on a first-come, first-served basis)
  • Online: Zoom link will be available after registration.

Participants are expected to attend the entire workshop.

Computers: Participants may use their own personal computers, or the computers provided in the workshop room to take part in the session.
Participants will use the Google Colab platform.

Submission and Formatting 101: Master the Dissertation, Thesis, and Report Process


Students who are completing a dissertation, thesis, or report are invited to join the Graduate School to learn about the resources available to them to assist in scheduling their defense, formatting their documents, and submitting their documents.  In one afternoon, you can learn everything you need to be successful and complete your degree in a timely fashion!  Faculty and staff who assist students with submissions are also welcome to attend.  Attend the entire event, or stop in for the seminar that interests you.