Chapter 3 1 ¡ HTML describes the overall page § Specifies region for WebGL canvas § Specifies external files to load (like the JS file) ¡ JS File – load event § Setup WebGL context § Define, compile, and link shaders § Compute/load/specify data in VBOs § Setup additional events § Call render ¡ JS […]
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CSCI-396 Jeff Bush 1 So far, models have been simple hard-coded (triangles, squares, trapezoid) or procedurally generated (circle, Sierpinski’s triangle) shapes We want to be able to use complex 3D models and having thousands of vertices of data in our JS file would be un-maintainable and has many other issues Solution: define
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CSCI-396 Jeff Bush ¡ Standard projections project onto a plane ¡ The projections all meet at the center of projection (COP) § The COP can be at infinity causing all projections to be parallel and then there is a direction of projection (DOP) § Difference between perspective and parallel views ¡ Both types preserve lines
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Neural Networks and Deep Learning Project 2 – Rating and Category Prediction Introduction For this assignment you will be writing a Pytorch program that learns to read business reviews in text format and predict a rating (positive or negative) associated with each review, as well as a business category (0=Restaurants, 1=Shopping, 2=Home Services, 3=Health &
CSC3150 Assignment 3 In Assignment 3, you are required to simulate a mechanism of virtual memory via GPU’s memory. Background: Virtual memory is a technique that allows the execution of processes that are not completely in memory. One major advantage of this scheme is that programs can be larger than physical memory. In
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ELEC 6036 – High Perf. Comp. Architecture A Motivational Note on : HOW the High Performance Computing (HPC) – esp. Cloud Computing Changes Our Ways of Living ?? ELEC 6036 – HPC Written by Dr. V. Tam 1 HPC / Cloud Computing…. According to the “Inside HPC” website [URL at : http://insidehpc.com/hpc-basic-training/what-is-hpc/], “High Performance Computing
Due Acknowledgement of the Reference URL at: http://jineshvaria.s3.amazonaws.com/public/cloudarchitectures -varia.pdf – https://developer.apple.com/machine-learning/ https / ://cloud.google.com/ml engine An Overview… Introduction to Cloud Architectures & Computing – objectives of cloud architectures/platform, applications, etc; Lesson Learnt from the “GrepTheWeb” – Tips for developing effective cloud applications; More detailed considerations of the concepts/factors involved; Summary Introduction
Systems, Networks & Concurrency 2019 Architectures9 Uwe R. Zimmer – The Australian National University [Bacon98] J. Bacon Concurrent Systems 1998 (2nd Edition) Addison Wesley Longman Ltd, ISBN 0-201-17767-6 [Stallings2001] Stallings, William Operating Systems Prentice Hall, 2001 [Intel2010] Intel® 64 and IA-32 Architectures Optimization Reference Manual http://www.intel.com/products/processor/manuals/ Architectures References © 2019 Uwe R. Zimmer, The Australian
 Programming Project #4 (proj4) CS194-26: Intro to Computer Vision and Computational Photography Due Date: 11:59pm on Sunday, Nov 01, 2020 [START EARLY] Facial Keypoint Detection with Neural Networks  In this project, you will learn how to use neural networks to automatically detect facial keypoints — no more clicking! For this project, we
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School of Computing and Information Systems The University of Melbourne COMP90042 NATURAL LANGUAGE PROCESSING (Semester 1, 2020) Workshop exercises: Week 7 1. What are contextual representations? Discussion 2. How does a transformer captures dependencies between words? What advan- tages does it have compared to RNN? 3. What is discourse segmentation? What do the segments consist