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Deep Learning Bootcamp

Since 2016, LauzHack has organized hackathons at EPFL in Lausanne, Switzerland. We also organize tech talks during the school year.

This is a repository for our Deep Learning Bootcamp (Winter 2025 Edition). For previous editions, see Previous Editions section.

Syllabus

  • day01 Introduction to Deep Learning and PyTorch
    • Lecture: Introduction to bootcamp and Deep Learning
    • Seminar: Introduction to pytorch
  • day02 Basic Model Architectures
    • Lecture: Fully-connected and Convolutional Neural Networks, ResNet
    • Seminar: Models in pytorch and training pipeline
  • day03 Transformer and R&D Coding
    • Lecture: Recurrent Neural Networks, BatchNorm, LayerNorm
    • Seminar: RNN, LSTM, GRU example
    • Lecture 2: Transformer
    • Seminar 2: Implementation of Transformer in pytorch

Resources

Contributors & bootcamp staff

Bootcamp materials and teaching were delivered by:

  • Petr Grinberg
  • Seyed Parsa Neshaei
  • Eric Bezzam
  • Ali Hariri
  • Nikita Durasov
  • Federico Stella (Previously)
  • Atli Kosson (Previously)
  • Cristian Cioflan (Previously)
  • Skander Moalla (Previously)
  • Vinitra Swamy (Previously)

Previous Editions