HPML blogposts
latest

Tutorials:

  • Large Language Models on Snellius
  • Profiling with PyTorch
  • Generate some dummy data
  • Define a neural network with PyTorch
  • Train Loop
  • Introduction to Deep Learning with PyTorch
  • Making the classifier a Neural Network
  • Define your model
  • Define your hyperparameters
  • What about harder datasets?
  • Ai, probably not the 90%+ accuracy we saw with MNIST!
  • Introducing Convolution! What is it?
  • How to continue?
  • Defining the model
  • Introduction to Deep Learning with PyTorch
  • Making the classifier a Neural Network
  • Define your hyperparameters
  • What about harder datasets?
  • Ai, probably not the 90%+ accuracy we saw with MNIST!
  • Introducing Convolution! What is it?
  • How to continue?
  • Defining the model
  • Autoencoders
  • Formatting the input data layer
  • Building the model
  • Variational Auto Encoder
  • Training a VAE
  • Generation!
  • Let’s inspect the VAE latent space
  • Smooth transitions in our latent space
  • Conclusion
  • EXTRA: 3D Projection Plotting
  • References and more Learning!
HPML blogposts
  • »
  • Search

© Copyright 2022, SURF HPML. Revision 27c67105.

Built with Sphinx using a theme provided by Read the Docs.