Training deep neural networks like Transformers is challenging. They suffering from vanishing gradients, ineffective weight updates, and slow convergence. In this video, we break down one of the most ...

This project implements ResNet-50, a deep convolutional neural network with 50 layers that uses residual connections to enable training of very deep networks. The architecture includes identity ...

ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...

Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is the ...

In this video, we will understand Backpropagation in RNN. It is also called Backpropagation through time, as here we are backpropagating through time. Understanding Backpropagation in RNN helps us to ...

Hello, thank you very much for your outstanding contribution. I am truly interested in your work! While attempting to reproduce your results, I observed that the loss drops rapidly during the first ...

Kyle Larson’s win at Kansas Speedway in front of a sparse crowd was a great example of the fundamental problem NASCAR faces as it navigates the 2020s and beyond. To be clear, that problem has nothing ...

A Canadian who has worked in the gaming industry for over two decades, Beck grew up on games such as Final Fantasy and Super Mario Bros. He specalizes in roleplaying games, but covers titles in almost ...

In a long-overdue rematch following the events at the Stone Wave Cliffs, Renoir is the boss waiting in Old Lumiere in Clair Obscur: Expedition 33. Here's what you need to know to defeat this imposing ...

An AI system developed by Google DeepMind, Google’s leading AI research lab, appears to have surpassed the average gold medalist in solving geometry problems in an international mathematics ...