Tag: Neural Networks

All the articles with the tag "Neural Networks".

• Softmax to the Max

  Published:Dec 30, 2024 |  at 10:02 AM |  in 10 min read

  A deep dive into the softmax, logsoftmax, and logsumexp functions, their gradients, and how they relate to each other.

• Neural Scaling Laws (Then and Now)

  Published:Dec 3, 2024 |  at 04:07 AM |  in 12 min read

  Scaling laws have been a cornerstone of deep learning research for decades. In this post, we'll explore the history of scaling laws in deep learning, and how they've evolved over time.

• Feeding the Beast - Data Loading Secrets for Hungry Neural Networks

  Published:Dec 3, 2024 |  at 02:53 AM |  in 11 min read

  Data loading is a critical part of training deep learning models. In this post, we'll explore the best practices for loading data into neural networks, with a focus on PyTorch.

• Large-Scale Neural Network Training

  Published:Dec 2, 2024 |  at 01:58 AM |  in 23 min read

  Large-scale neural network training is a critical component of modern machine learning workflows. This post provides an overview of the challenges and solutions for training deep learning models at scale.