Algorithm算法代写代考

tutorial9.dvi COMP9414: Artificial Intelligence Tutorial 9: Neural Networks/Reinforcement Learning 1. (i) Construct by hand a perceptron which correctly classifies the following data; use your knowledge of plane geometry to choose values for the weights w0, w1 and w2. Training Example x1 x2 Class a 0 1 − b 2 0 − c 1 1 +

\documentclass[twoside]{article} \setlength{\oddsidemargin}{0 in} \setlength{\evensidemargin}{0 in} \setlength{\topmargin}{-0.6 in} \setlength{\textwidth}{6.7 in} \setlength{\textheight}{8.5 in} \setlength{\headsep}{0.75 in} \setlength{\parindent}{0 in} \setlength{\parskip}{0.1 in} \usepackage{amsmath,amssymb,enumerate,epsfig} \usepackage{algorithm} \usepackage{ifthen} \usepackage[noend]{algorithmic} \usepackage{wasysym} \usepackage{hyperref} \usepackage[dvipsnames]{xcolor} %%%% Some of this is not used for the assignment, it was just in the .tex template I used. \newcounter{lecnum} \renewcommand{\thepage}{\thelecnum-\arabic{page}} \renewcommand{\thesection}{\thelecnum.\arabic{section}} \renewcommand{\theequation}{\thelecnum.\arabic{equation}} \renewcommand{\thefigure}{\thelecnum.\arabic{figure}} \renewcommand{\thetable}{\thelecnum.\arabic{table}} \newtheorem{theorem}{Theorem} \newtheorem{lemma}{Lemma} \newtheorem{claim}{Claim} \newtheorem{proposition}{Proposition} \newtheorem{prob}{Problem} \newtheorem{corollary}{Corollary}

CMPUT 304: Algorithms II Fall 2021 Assignment 5 (Due Dec 9 by 11:55pm): Submit via eClass You must adhere to the consultation collaboration policy mentioned in the course outline. Remember to list anyone you discussed the assignment questions with and remember what constitutes an acceptable level of discussion. You need to solve 5 out of