DLRG Mini-Course: Fundamentals of Deep Learning 1

Title: Fundamentals of Deep Learning 1
Date: Sept 11, 2023
Time: 1-3:30 pm CST
Location: Online

https://forms.gle/o8t4NAnEcfBE1GJ6A

Learning Objectives

• Learn the fundamental techniques and tools required to train a deep learning model
• Gain experience with common deep learning data types and model architectures
• Enhance datasets through data augmentation to improve model accuracy
• Leverage transfer learning between models to achieve efficient results with less data and computation
• Build confidence to take on your own project with a modern deep learning framework

Prerequisites: An understanding of fundamental programming concepts in Python 3, such as functions, loops, dictionaries, and arrays; familiarity with Pandas data structures; and an understanding of how to compute a regression line.

Suggested materials to satisfy prerequisites: Python Beginner’s Guide.

Technologies: Tensorflow 2 with Keras, Pandas

Assessment Type: Skills-based coding assessments evaluate students’ ability to train a deep learning model to high accuracy.

Certificate: Upon successful completion of the assessment, participants will receive an NVIDIA DLI certificate to recognize their subject matter competency and support professional career growth.