PPT-CS440/ECE448 Lecture 8:

Logistic Regression Mark HasegawaJohnson 22022 License CCBY 40 Outline Onehot vectors rewriting the perceptron to look like linear regression Softmax Soft category boundaries Crossentropy negative log probability of the training data. CS440/ECE448: Artificial Intelligence. Course website:. http://. slazebni.cs.illinois.edu. /fall15/. What is AI?. Candidate definitions from the textbook:. 1.. . Thinking. humanly. 2. Acting humanly. and Brian Voigt © 2011, . except where noted. Lecture 6:. Introduction to Projections and Coordinate Systems. By Austin Troy and Brian Voigt, University of Vermont,. with sections adapted from ESRI’s online course on projections. Assembly Language and . Arduino. Behind the C code (or sketch). C provides a somewhat human-readable interface. but it gets . compiled. into machine instruction set. ultimately just binary (or hex) instructions loaded into the . 1. CS440. Eclipse basics. Written in Java. Based on . Equinox. framework. Modular Java specification . OSGi. (Open Services Gateway initiative). Dynamically loaded modules: bundles. Android Development Tools (ADT) plug-in: Bundle. 1. The LHC Voyage . Of. Discovery . Dan Green. Fermilab. Fermilab Lecture, Sept. 23, 2011. 2. What is Particle Physics?. Particle physics is the modern name for the centuries old effort to understand the laws of nature. . More than Just Capturing Lectures. Bill King. What is Lecture Capture?. Lecture Capture is the use of a set of technologies to capture and then enable time-shifted and place-shifted viewing of the Lecture Content.. 1. CS440. Adapters (again!). Adapters . are . bridging . classes,. . that bind data to user-interface Views. The adapter is responsible for . creating the . child views used to represent each item and providing access to the underlying data.. Lecture 8. Announcements. Lecture 8 > . Announcements. Scores were quite good overall . for homework! . We’re excited! . Destroy the midterm!. Midterm is with CAs. . We will post on the page how to divide into overflow rooms. LCD Text Display. Keypads and Time Slicing. Interrupts. adapted from . T. Murphy’s . lectures. 2×16 LCD . Typically 5×8 dots per character. Note 16 pins: indicator of common interface. Phys 124: Lecture 4. In online and blended learning platforms. An experiment with technology . Margaret Conlon. Edinburgh Napier University. Regularly used in dazzlingly large lectures….. But received some criticism…. Stochastic Games, Stochastic Search, and Learned Evaluation Functions. Slides by Svetlana Lazebnik, 9/2016. Modified by Mark Hasegawa-Johnson, 9/2017. Types of game environments. Deterministic. Stochastic. Markov Decision Processes. Mark Hasegawa-Johnson, 4/2020. Including slides by Svetlana Lazebnik, 11/2016. Including many figures by Peter . Abbeel. and Dan Klein, UC Berkeley CS 188. Grid World. Invented and drawn by Peter . Two-Player Games. Slides . by Mark Hasegawa-Johnson & Svetlana . Lazebnik. , 2/2020. Distributed under CC-BY 4.0 (. https://creativecommons.org/licenses/by/4.0/. ). You are free to share and/or adapt if you give attribution.. Linear Classifiers. Mark Hasegawa-Johnson, 3/2020. Including Slides by . Svetlana Lazebnik, 10/2016. License: CC-BY 4.0. Linear Classifiers. Classifiers. Perceptron. Linear classifiers in general. Logistic regression.