DLRG – Fundamentals of Deep Learning – 1

TrAC DLRG Mini-course on Fundamentals of Deep Learning (class 1/3) In this mini-course, we will cover basic fundamental concepts of deep learning. This is a series of 3 lectures spread over 3 weeks.

$20

ADLRG – Deep Reinforcement Learning – 1

TrAC ADLRG Mini-course on Deep Reinforcement Learning (class 1/3) In this mini-course, we will cover concepts in deep reinforcement learning. To register for this course, visit this link: https://trac-ai.iastate.edu/2024/01/16/trac-events-for-spring-2024/news/

DLRG – Fundamentals of Deep Learning – 2

TrAC DLRG Mini-course on Fundamentals of Deep Learning (class 2/3) In this mini-course, we will cover basic fundamental concepts of deep learning. This is a series of 3 lectures spread over 3 weeks.

TrAC Seminar Series – Hari Subramoni

Title: HARVEST: High-Performance Artificial Vision Framework for Expert Labeling using Semi-Supervised Training Abstract Three valuable crop scouting use cases are to provide i) recommendations of optimum rate and timing of […]

Journal Club – 101 Topics in ML, Control & Optimization

Introduction Optimization has been playing a critical role in modern machine learning, leading to its significantly successful applications in many different fields. Researchers and practitioners typically spend less time investigating optimizers when they do the model training, mostly following some empirical rules or recommendations from the community. In this event, we will go relatively deeper […]

DLRG – Fundamentals of Deep Learning – 3

TrAC DLRG Mini-course on Fundamentals of Deep Learning (class 3/3) In this mini-course, we will cover basic fundamental concepts of deep learning. This is a series of 3 lectures spread over 3 weeks.

TrAC Seminar Series – Carrie Alexander

Title: The “Fatal Flaw” in AI Policy & Governance, and a Simple Yet Strategic Framework that May Help Abstract Much of policy and governance for AI can be divided into […]

DLRG – Mastering PyTorch – 1

TrAC DLRG Mini-course on Mastering PyTorch (class 1/3) In this mini-course, we will cover programming for deep learning and accelerated computing using PyTorch. This is a series of 3 lectures […]