COMS 4771 (SPRING 2021) EXAM 2 APRIL 16, 2021 Name & UNI: Instructions • You have a 24 hour period (from Friday April 16, 2021 00:01 AM EDT to Friday April 16, 2021 11:59 PM EDT) to take this exam. You may open the exam at any time in this 24 hour period, but as […]
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COMS 4771 (Fall 2017) Final Exam December 07, 2017 Name & UNI: 1. (15 points) State True or False. No justification needed! Please show all your work! Answers without supporting work will not be given credit. Write your answers in spaces provided. There are total 13 pages including two blank pages at the end for
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CSCI435/CSCI935 Computer Vision – Algorithms and Systems Subject Review & Final Exam Lecturer: Assoc/Prof Wanqing Li Room 3.101 Web: http://www.uow.edu.au/~wanqing 25/10/2021 Subject Learning Outcomes On successful completion of this subject, students are expected to: • Understand the principle of digital image and video cameras. • Use image enhancement techniques. • Use object detection and recognition
$ cd ~/datalog $ mkdir build && cd build $ cmake .. $ cd ~/datalog/test $ clang -emit-llvm -S -c -o Greatest.bc Greatest.c Lab 3: Datalog Fall Semester 2022 Due: 17 October, 8:00 a.m. Eastern Time Corresponding Lecture: Lesson 7 (Constraint Based Analysis) Writing a constraint-based static analysis for C programs with LLVM and Z3.
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Lab 0: Introduction to LLVM Spring Semester 2020 Due: 20 January, at 8:00 a.m. Eastern Time This lab involves running and extending LLVM, a popular compiler framework for a large class of programming languages, that will be used to implement all the labs in this course. You will setup the LLVM framework in the provided
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ECON425: Machine Learning Winter 2022 Question 1. Typical machine learning algorithms can be used to address both supervised or unsupervised problems. The predictions of these algorithms are either continuous values or discrete labels. Therefore, there are four types of machine learning algorithms, as summarized in the following 1. Supervised, continuous 2. Supervised, discrete 3. Unsupervised,
ECON425: Machine Learning Winter 2022 Question 1. Typical machine learning algorithms can be used to address both supervised or unsupervised problems. The predictions of these algorithms are either continuous values or discrete labels. Therefore, there are four types of machine learning algorithms, as summarized in the following 1. Supervised, continuous 2. Supervised, discrete 3. Unsupervised,
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Homework 5 starter code In this homework, we will train a CNN to do vision-based driving in SuperTuxKart. This assignment should be solved individually. No collaboration, sharing of solutions, or exchange of models is allowed. Please, do not directly copy existing code from anywhere other than your previous solutions, or the previous master solution. We
# CS160 Assignment 5 **Due: Tuesday, June 13th, 11:59PM** > Click this [link](https://download-directory.github.io/?url=https%3A%2F%2Fgithub.com%2Ffredfeng%2FCS160%2Ftree%2Fmain%2Fassignments%2Fhw5) to download the homework. In this assignment, you will be compiling Patina programs to lower-level intermediate representations (IR) called LLVMlite. ## Background: The LLVMlite IR Language > File: [ll/ll.ml](./ll/ll.ml) An intermediate representation sits between a high-level source language (Patina) and hardware-dependent, low-level
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Computer Organization/Architecture, Spring 2023 Malloc Lab: Writing a Dynamic Storage Allocator Assigned: May 16, 2023 Due: June 5, 11:59 PM 1 Introduction In this lab you will be writing a dynamic storage allocator for C programs, i.e., your own version of the malloc, free and realloc routines. You are encouraged to explore the design space