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.
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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 nitrogen, ii) identifying plant disease incidence & severity followed by recommending treatment options, and iii) predicting yield to inform a farmer’s grain marketing activities. While […]
ADLRG – Deep Reinforcement Learning – 2
TrAC ADLRG Mini-course on Deep Reinforcement Learning (class 2/3) In this mini-course, we will cover concepts in deep reinforcement learning.
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 three broad categories. There are “soft law” mechanisms, such as ethics frameworks and guidelines. There are calls for and efforts toward creating new regulations or […]
ADLRG – Deep Reinforcement Learning – 3
TrAC ADLRG Mini-course on Deep Reinforcement Learning (class 3/4) In this mini-course, we will cover concepts in deep reinforcement learning.
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 spread over 3 weeks.
ADLRG – Deep Reinforcement Learning – 4
TrAC ADLRG Mini-course on Deep Reinforcement Learning (class 4/4) In this mini-course, we will cover concepts in deep reinforcement learning.
Student Journal Club – Samundra Karki
Title Globally Consistent Normal Orientation for Point Clouds by Regularizing the Winding-Number Field Location: 2004 Black Engineering or https://iastate.zoom.us/j/95263587232?pwd=K1BVcURvWExFb3pUT000NlRwdFZsZz09