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
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    • 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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  1. Neural Networks

Exam

Guesses on what the content will be

Diagrams of architectures could be useful!

3 questions from Lech

  • Interpretability

  • Learning theory

  • Stochastic neural networks?

  • History?

  • Learning?

3 questions from Ali

  • Word2Vec vs onehot encoding? (Word representation)

  • Recurrent models of language

  • Sequence to sequence networks / attention

  • Transformer

PreviousSequence-to-sequence networks

Last updated 3 years ago

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