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Best Resources to Learn Deep Learning Theory

A curated list of the best courses and books to learn deep learning

JAX vs Tensorflow vs Pytorch: Building a Variational Au...

A side-by-side comparison of JAX, Tensorflow and Pytorch while developing and tr...

Speech Recognition: a review of the different deep lear...

Explore the most popular deep learning architecture to perform automatic speech ...

Grokking self-supervised (representation) learning: how...

A general perspective on understanding self-supervised representation learning m...

A complete Weights and Biases tutorial

Learn about the Weights and Biases library with a hands-on tutorial on the diffe...

Top Resources to start with Computer Vision and Deep Le...

A curated list of the best courses, books and blog to learn computer vision with...

A complete Hugging Face tutorial: how to build and trai...

Learn about the Hugging Face ecosystem with a hands-on tutorial on the datasets ...

Regularization techniques for training deep neural netw...

Discover what is regularization, why it is necessary in deep neural networks and...

An introduction to Recommendation Systems: an overview ...

Learn about the SOTA recommender system models. From collaborative filtering and...

Transformers in computer vision: ViT architectures, tip...

Learn all there is to know about transformer architectures in computer vision, a...

Understanding SWAV: self-supervised learning with contr...

A mathematical explanation of the Swapping Assignments Between Views (SWAV) paper.

Best Graph Neural Network architectures: GCN, GAT, MPNN...

Explore the most popular gnn architectures such as gcn, gat, mpnn, graphsage and...

Deep learning on computational biology and bioinformati...

A self-complete guide for understanding biology concepts that are necessary for ...

Self-supervised learning tutorial: Implementing SimCLR ...

Learn how to implement the infamous contrastive self-supervised learning method ...

Vision Language models: towards multi-modal deep learning

A review of state of the art vision-language models such as CLIP, DALLE, ALIGN a...

Understanding Maximum Likelihood Estimation in Supervis...

This article demystifies the ML learning modeling process under the prism of sta...

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