Garth Wales
  • Introduction
  • META
  • To be added elsewhere
  • University
    • 400 Project Research
    • Aims
    • Presentation
    • Report
    • Work Diary
  • Deep Declarative Networks
    • Potential avenues
    • Work Diary
    • Deep Declarative Networks
    • Image Segmentation
  • shortcuts / syntax / setup
    • Jupyter
    • SSH
    • Python
    • CUDA
    • Screen
    • Markdown Syntax
    • Git
    • Dendron
    • Visual Studio Code
    • LaTeX
    • Windows
    • Bash
    • Vim
  • Machine Learning
    • Markov decision process
    • Reinforcement learning
    • Deep Q Network
    • Modern hopfield network
    • Object Detection
    • Face detection
    • Activation Functions
    • Gym
    • RL frameworks
    • Hyperparameters
    • Interpretability
  • Reinforcement learning
    • Memory
    • Exploration techniques
    • Agents
  • garth.wales
    • Website redesign
  • Computer Graphics and Vision
    • Image Mosaicing
    • Stereo Vision
    • Rendering
    • Exam papers
  • Neural Networks
    • Introduction
    • Learning
    • Learning theory
    • Stochastic Neural Networks
    • Interpretability
    • Word Respresentation
    • Language modelling with recurrent networks
    • Sequence-to-sequence networks
    • Exam
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  • Interim report
  • Final report
  • Extra notes

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  1. University

Report

To be completed (Interim 23 July, Final 8 October)

Interim report

  • Marked by two academics (not your supervisor) from the department

  • Stand-alone coherent technical article

    • Motivation

    • Background including a review of the relevant academic literature.

    • Your achievements to date.

    • What you realistically expect to achieve in the remainder of the year.

    • Revised Aims and Objectives document if significant changes have been made as a result of the work in Semester 1.

  • No more than 3000 words

  • Opportunity to get feedback about your project and your write-up

  • A practice run for the final report

Final report

  • Marked by two academics (not your supervisor) from the department

  • Self-contained report on the entire project (may contain material from your interim report)

  • Show your understanding of the subject matter, background and relevant literature

  • Show your work and results

    • Negative results can still get you a good mark –just explain what you have done and analyse the problems

  • Assume the reader has CS background, but not an expert in your field

  • Make good use of the feedback from the interim report

  • No more than 8000 words (including appendices)

Extra notes

  • Send to your supervisor EARLY for comments (week(s) not day(s) before the deadline)

  • LaTeX template on BlackBoard (in Resources)

  • Submit via BlackBoard(Interim Report Assignment)

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