User contributions for Mdpowell

16 July 2024

• 22:0222:02, 16 July 2024 diff hist +265‎ User:Mdpowell ‎No edit summary current
• 21:5521:55, 16 July 2024 diff hist +349‎ N File:Tensors.pdf ‎ This is an introduction to tensors written in APL. Einstein notation is slick. It's compact and powerful. In that regard, it has much in common with APL. This introduction starts with the notion of fields and coordinate transformations and carries through to the generalized covariant derivative. current

9 April 2020

• 20:0120:01, 9 April 2020 diff hist 0‎ File:4 The Handwritten Digits Model.pdf ‎ Mdpowell uploaded a new version of File:4 The Handwritten Digits Model.pdf current
• 20:0120:01, 9 April 2020 diff hist 0‎ File:3 Machine Learning.pdf ‎ Mdpowell uploaded a new version of File:3 Machine Learning.pdf current
• 20:0020:00, 9 April 2020 diff hist 0‎ File:2 The Derivative Rules.pdf ‎ Mdpowell uploaded a new version of File:2 The Derivative Rules.pdf current
• 19:5919:59, 9 April 2020 diff hist 0‎ File:2 The Derivative Rules.pdf ‎ Mdpowell uploaded a new version of File:2 The Derivative Rules.pdf
• 19:5819:58, 9 April 2020 diff hist 0‎ File:2 The Derivative Rules.pdf ‎ Mdpowell uploaded a new version of File:2 The Derivative Rules.pdf

8 April 2020

• 19:4119:41, 8 April 2020 diff hist 0‎ File:1 The Derivative Revisited.pdf ‎ Mdpowell uploaded a new version of File:1 The Derivative Revisited.pdf current

7 April 2020

• 19:4419:44, 7 April 2020 diff hist +1‎ Papers ‎No edit summary
• 19:4319:43, 7 April 2020 diff hist +320‎ Papers ‎No edit summary
• 19:4119:41, 7 April 2020 diff hist +257‎ N File:4 The Handwritten Digits Model.pdf ‎ This tutorial explores how to estimate the parameters of the handwritten digits model. It does so using an interactive session. The objective is to delve into how to conduct an estimation rather than to find the absolute best search algorithm.
• 19:3919:39, 7 April 2020 diff hist +316‎ Papers ‎No edit summary
• 19:3819:38, 7 April 2020 diff hist +332‎ N File:3 Machine Learning.pdf ‎ This tutorial explores the pattern recognition model for handwritten digits using data from the Modified National Institute of Standards and Technology database. It focuses on deriving the analytic gradients in APL and establishing them as part of the back propagation algorithm.
• 19:3519:35, 7 April 2020 diff hist +1‎ Papers ‎No edit summary
• 19:3519:35, 7 April 2020 diff hist +413‎ Papers ‎No edit summary
• 19:3219:32, 7 April 2020 diff hist +410‎ N File:2 The Derivative Rules.pdf ‎ In 1979 Ken Iverson wrote a paper on the derivative as part of the ACM APL Conference. That paper included a section summarizing the rules for the derivatives of compound formulations such as f×g. His summary omits the derivation of these rules. This article aims to restate these rules in more modern notation and provide derivations for Iverson's results.
• 19:2819:28, 7 April 2020 diff hist +126‎ Papers ‎No edit summary
• 19:2319:23, 7 April 2020 diff hist +125‎ N File:1 The Derivative Revisited.pdf ‎ Ken Iverson's 1979 paper on "The Derivative Operator" brought up to date.