Search for tag: "training"

2022-09-20 Supervisors Meeting

From  Anthony Pizzo 0 likes 0 plays

15September2022_ENGLibraryCourtyard

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DataX PPPL Workshop 5-2022_Adebayo

From  Broadcast Broadcast Center Staff 0 likes 4 plays

DataX PPPL Workshop 5-2022_Kates-Harbeck

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DataX PPPL Workshop 5-2022_Canziani

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OURSIP Intern - Adam Rebei

Using Neural Networks to Solve Heterogeneous Agent Macroeconomic Models Mentor: Prof. Johnathan Payne, Economics

From  our Undergraduate Research 0 likes 12 plays

2022-05_OSHASafetyStandDown

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Using a Theory of Human Cognition to Improve Computer Agents, Albert Lin, UG '23 (3965329)

Current reinforcement learning (RL) models still have difficulty generalizing to novel, but related, tasks. They are also often composed of deep neural networks which carry out computations that do…

From  Research Princeton Research Day 3 likes 41 plays

Making Models and Mining Mimics: Insights From Computer Vision Into How Biological Systems Solve Visual Problems, Yael Stochel, UG '22 (3965102)

Heliconius butterflies, a genus of butterfly that lives in South America, exhibit Mullerian mimicry, a type of mimicry in which toxic unrelated species evolve to share warning signals to teach and…

From  Research Princeton Research Day 0 likes 43 plays

3D Object Reconstruction of Unseen and Unlabeled Point Clouds, Gene Chou, UG '22 (3963734)

Learning 3D representations of objects is a task at the heart of computer vision, robotic manipulation, scene understanding, medicine, and content generation. Implicit neural representations which…

From  Research Princeton Research Day 0 likes 22 plays

Towards DESRED: A Diverse Explorable Super Resolution Evaluation Dataset, Phillip Taylor, UG '22 (3954081)

The task of explorable super resolution (ESR) reconstructs multiple possible high resolution (HR) image variants for a given single low resolution (LR) image. However, due to the novelty and…

From  Research Princeton Research Day 0 likes 9 plays

Intro to Machine Learning, Part 4 of 4

This course is primarily intended for non-computer science students who want to understand the foundations of building and testing an ML pipeline, different model types, important considerations in…

From  Andrea Rubinstein 0 likes 7 plays

The Evolution of Repressive Policing in Algeria.

From  Broadcast Broadcast Center Staff 0 likes 5 plays

Intro to Machine Learning, Part 2 of 4

Intro to Machine Learning, Part 2 of 4

From  Andrea Rubinstein 0 likes 2 plays

Intro to Machine Learning, Part 1 of 4

Intro to Machine Learning, Part 1 of 4

From  Andrea Rubinstein 0 likes 21 plays

Multi-GPU training with Pytorch and TensorFlow

Multi-GPU training with Pytorch and TensorFlow presented on February 24, 2022 by Jonathan Halverson

From  Irene Kopaliani 0 likes 18 plays