Uploaded byFrank La Vigne
Neural Networks from the Ground Up
The document provides an overview of neural networks from Frank La Vigne. It discusses biological neural networks that inspired artificial neural networks. It describes the basic structure of an artificial neuron and activation functions. It also mentions La Vigne's data science podcast and books on the topic as well as examples of convolutional neural networks and transfer learning.
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Neural Networks from the Ground Up
- 1. Neural Networks from theGround up Frank La Vigne FranksWorld.com / DataDriven.tv / @tableteer / FranksWorld.tv FrankLa@microsoft.com
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- 3. DataSciencePodcast Data Driven Podcast Launched June 2017 178 Episodes Over 80,000 downloads iTunes, Google Play, Spotify, Tune In, Facebook, etc
- 4. Writing Regular columnin MSDN Magazine aka.ms/FrankMSDN Two new books on Data Science Yes, two Yes, I’m quite possibly insane
- 5. UsuallyYouSeeThis What isgoing on in this diagram? How does this structure work? Why does this structure work?
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- 10. Santiago Ramón yCajal Santiago Ramón y Cajal (1852-1934) ventured into science as both an artist and a pathologist and became the first person to see a neuron. Working by gaslight, he made thin slices of brain tissue and subjected them to the same silver- nitrate chemistry he used to capture images on photographic plates.
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- 12. Artificial Neural Networks Modeled after biological neural networks Activation functions Pros Amazing results Cons Lack of explainability Computationally expensive Complexity
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- 24. Contactme frankla@Microsoft.com @tableteer FranksWorld.com DataDriven.tv aka.ms/FrankMSDN