This site uses cookies. By continuing to browse the site you are agreeing to our use of cookies.
How convolutional neural networks work? What are the principles behind designing...
An overview of the most popular optimization algorithms for training deep neural...
An intuitive understanding on Transformers and how they are used in Machine Tran...
What is Kubernetes? What are the basic principles behind it? Why it might be the...
Explaining the mathematics behind generative learning and latent variable models...
In this article you will learn how the vision transformer works for image classi...
A curated list of the top bootcamps and platforms to learn Machine Learning and ...
Understand how positional embeddings emerged and how we use the inside self-atte...
Find out the basics of CT imaging and segment lungs and vessels without labels w...
Learn about the einsum notation and einops by coding a custom multi-head self-at...
What is Explainable Artificial Intelligence (XAI), what are the most popular met...
An introduction to JAX, its best features alongside with code snippets for you t...
A curated list of the best courses and books to learn deep learning
A side-by-side comparison of JAX, Tensorflow and Pytorch while developing and tr...
Learn everything there is to know about the attention mechanisms of the infamous...
How to develop and train a Transformer with JAX, Haiku and Optax. Learn by examp...