Neural Networks

AI Neural Networks

Introduction to transformer architecture and discussion

Phillip Isola and Brian Cheung of MIT provide an informal discussion that provides an overview of transformer networks and then we will open the floor for questions and discussion.

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Neural Networks

How can Neural Networks learn (almost) anything

They seem magical, but the functioning of neural networks is real and fantastic. A video about neural networks, how they work, and why they’re useful.

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Hardware Neural Networks

Running Neural Networks on Meshes of Light

Photonics are not just for quantum computers apparently. Could we be on the precipice of a new hardware paradigm?

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AI Neural Networks

How Deep Neural Networks Work

This is part of the End-to-End Machine Learning School Course 193, How Neural Networks Work at https://e2eml.school/193

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Neural Networks Python

Building a neural network FROM SCRATCH (no Tensorflow/Pytorch, just numpy & math)

Watch the video and check out the Kaggle notebook with all the code.

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AI Neural Networks

Developer Tech Minutes: Swin Transformer

Microsoft researchers developed Swin Transformer, a new model architecture that has significantly outperformed previous dominant convolutional neural networks on broad vision problems. In version 2 of Swin Transformer, they then joined this new architecture with a new learning approach, known as SimMIM, or “A Simple Framework for Masked Image Modeling.” In this Tech Minutes episode, […]

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AI Neural Networks

Transfer learning and Transformer models (ML Tech Talks)

In this session of Machine Learning Tech Talks, Software Engineer from Google Research, Iulia Turc, will walk us through the recent history of natural language processing, including the current state of the art architecture, the Transformer.

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AI Natural Language Processing Neural Networks

Illustrated Guide to Transformers Neural Network: A step by step explanation

Transformers are the rage nowadays, but how do they work? This video demystifies the novel neural network architecture with step by step explanation and illustrations on how transformers work. CORRECTIONS: The sine and cosine functions are actually applied to the embedding dimensions and time steps!

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