AI Summer

Best deep CNN architectures and their principles: from ...

How convolutional neural networks work? What are the principles behind designing...

A journey into Optimization algorithms for Deep Neural ...

An overview of the most popular optimization algorithms for training deep neural...

Introduction to Kubernetes with Google Cloud: Deploy yo...

What is Kubernetes? What are the basic principles behind it? Why it might be the...

Scalability in Machine Learning: Grow your model to ser...

Follow along with a small AI startup on its journey to scale from 1 to millions ...

BYOL tutorial: self-supervised learning on CIFAR images...

Implement and understand byol, a self-supervised computer vision method without ...

How distributed training works in Pytorch: distributed ...

Learn how distributed training works in pytorch: data parallel, distributed data...

Self-supervised learning tutorial: Implementing SimCLR ...

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

Understanding Maximum Likelihood Estimation in Supervis...

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

Best AI and Deep learning books to read in 2022

A list of the top books to learn deep learning divided into four distinct catego...

Spiking Neural Networks: where neuroscience meets artif...

Discorver how to formulate and train Spiking Neural Networks (SNNs) using the LI...

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.

Deep learning on computational biology and bioinformati...

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

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...

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