Class activities will be recorded here.

This page has the entire plan for the semester. For weeks in the future, consider it a plan subject to change. For weeks in the past consider it a record of what we have done. As for the current week, keep a watch for updates and changes.

Week 1 : January 14 - January 20
Week 2 : January 21 - January 27
Week 3 : January 28 - February 3
Week 4 : February 4 - February 10
Week 5 : February 11 - February 17
Week 6 : February 18 - February 24
Week 7 : February 25 - March 3
Week 8 : March 4 - March 10
Week 9 : March 11 - March 17
  • Mon
    Spring Break
    Wed
    Spring Break
    Fri
    Spring Break
Week 10 : March 18 - March 24
Week 11 : March 25 - March 31
  • Mon
    Neural Networks: Toward Images (pdf)
    Neural Networks move closer to solving giant image recognition tasks
    Wed
    Program 5 Assignment Discussion
    Discussed aspects of the next major programming assingment. Covered more of 'Toward Images' lecture
    Fri
    Convolutional Neural Nets (pdf)
    Convolutional Neural Networks and the problems they solve
Week 12 : April 1 - April 7
  • Mon
    Team Assignment 4 Live Demos
    Teams will show each other their running live tracking systems
    Wed
    Guest Lecture by Maggie Wigness
    Visual Perception and Human Agent Teaming for Real-World Robotics Applications
    Maggie Wigness did her PhD in the Computer Vision Groups and currently works for the US Army Research Laboratory
    Fri
    TensorFlow First Basic Introduction (pdf)
    We begin the process of understanding and starting to use Tensorflow
Week 13 : April 8 - April 14
Week 14 : April 15 - April 21
  • Mon
    TensorFlow Back Propagation Illustration Coninued
    Continuation of presentation and discussion of Back Propogation example written in Tensorflow
    Wed
    TensorFlow Convolutiional Nueral Nets (CNN)
    Combination of showing TensorFlow Layers and Estimators as a means of building a CNN
    See the course resources page for links to material covered and code
    Fri
    TensorFlow CNN continued
    Continuing the example using Layers, Estimators, logging and a first glimpse of TensorBoard
Week 15 : April 22 - April 28
  • Mon
    TensorFlow Summaries and TensorBoard
    A new TensorFlow Example highlighting detailed summaries as tied into TensorBoard
    See the course resources page for links to material covered and code
    Wed
    TensorFlow Summaries and TensorBoard Continued
    Continuing the example emphasizing connections between Python code and TensorBoard analysis
    Fri
    Recurrent Neural Networks, Gesture Recognition and Overfitting
    Guest lecture on current research by Dhruva Patil
    Lecture will present work using recurrent neural networks to classify gestures in video
Week 16 : April 29 - May 5
  • Mon
    Overview of CSU CwC Program with Time to Play
    There will be a brief overview of CSU's work in the DARPA Communicating with Computers Program
    After presentation we will go to the CwC lab and interact with our multimodal agent Diana
    Wed
    Review for Final Exam
    Question and answer based upon the review sheet handed out in lecture
    CS 510, Spring 2018, Second Half of Semester Review
    Fri
    Real-time Object Recognition Showcase
    Each PA05 team will be given 5 minutes to show the rest of us their real-time object recognition systems
    Note both a time shift and room change. Time is 3:30PM to 4:30 PM and location is LSC 304/306