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• Select section General

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  General

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  • Select activity Course Description

    DAT112 Neural Network Programming (Apr 2025)

    This six-week class will introduce neural network programming concepts, theory and techniques. The class material will begin at an introductory level, intended for those with no experience with neural networks, eventually covering intermediate-to-advanced concepts.
    

    Classes will be held, April 22 - May 29, 2025, Tuesdays and Thursdays, 11:00am - 12:00pm.

    Format: Virtual

    Enseignant: Erik Spence

    Date de début: : 22 avr. 2025

    Date de fin: : 29 mai 2025

    Nombre de crédits - science des données: 16

    Événements:

    Neural network programming: lecture 1 - mardi 22 avril, 11:00 » 12:00

    Neural network programming: lecture 2 - jeudi 24 avril, 11:00 » 12:00

    Neural network programming: lecture 3 - mardi 29 avril, 11:00 » 12:00

    Une liste complète des événements du cours peut être trouvée ici ici.
• Select section Lectures

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  Lectures

  • Select activity Introduction

    • Introduction
      • intro_I.pdf
      • lecture1_code.tar.gz
  • Select activity Neural networks

    • Neural networks
      • intro_II.pdf
      • lecture2_code.tar.gz
      • mnist.pkl.gz
  • Select activity 3. Frameworks

    • 3. Frameworks
      • frameworks.pdf
      • lecture3_code.tar.gz
  • Select activity Convolutional neural networks

    • Convolutional neural networks
      • CNNs.pdf
      • lecture4_code.tar.gz
  • Select activity Image classification

    

    Image classification File
  • Select activity Variational autoencoders

    • Variational autoencoders
      • MNIST_VAE.mpg
      • mnist_vae.py
      • VAEs.pdf
  • Select activity Diffusion models

    • Diffusion models
      • DM.pdf
      • lecture7_code.tar.gz
  • Select activity Graph neural networks

    • Graph neural networks
      • GNNs.pdf
      • lecture8_code.tar.gz
  • Select activity Recurrent neural networks

    • Recurrent neural networks
      • lecture9_code.tar.gz
      • RNNs.pdf
  • Select activity Physics-informed neural networks

    • Physics-informed neural networks
      • lecture10_code.tar.gz
      • PINNs.pdf
  • Select activity Sequence-to-sequence networks

    • Sequence-to-sequence networks
      • lecture11_code.tar.gz
      • S2S.pdf
  • Select activity Attention and Transformers

    • Attention and Transformers
      • Attention.pdf
      • lecture12_code.tar.gz
• Select section Recordings

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  Recordings

  • Select activity Introduction

    

    Introduction File
  • Select activity Neural networks

    

    Neural networks File
  • Select activity Frameworks

    

    Frameworks File
  • Select activity Convolutional neural networks

    

    Convolutional neural networks File
  • Select activity Image classification

    

    Image classification File
  • Select activity Variational autoencoders

    

    Variational autoencoders File
  • Select activity Diffusion models

    

    Diffusion models File
  • Select activity Graph neural networks

    

    Graph neural networks File
  • Select activity Recurrent neural networks

    

    Recurrent neural networks File
  • Select activity Physics-informed neural networks

    

    Physics-informed neural networks File
  • Select activity Sequence-to-sequence networks

    

    Sequence-to-sequence networks File
  • Select activity Attention and Transformers

    

    Attention and Transformers File
• Select section Assignments

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  Assignments

  • Select activity Assignment 1

    

    Assignment 1

    Opened: Thursday, 1 May 2025, 11:30 AM

    Due: Thursday, 8 May 2025, 11:59 PM
  • Select activity Assignment 2

    

    Assignment 2

    Opened: Thursday, 15 May 2025, 11:30 AM

    Due: Thursday, 22 May 2025, 11:59 PM
  • Select activity Assignment 3

    

    Assignment 3

    Opened: Tuesday, 27 May 2025, 11:30 AM

    Due: Tuesday, 3 June 2025, 11:59 PM