CODE - AI Dynamics

Single Layer Neural Network Training Spiral Data Visualization

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13 February 2023 0h45

Es decir, la red que nos ha creado, como sólo tiene una capa, se ajusta pobremente a los datos y quizás no se vé tan espectacular. Pero la tarea que le hemos pedido está perfectamente hecha. Datos en espiral. Una red neuronal. Visualización. MP4 animado del training.

→ View original post on X — @dotcsv

13 February 2023

AI Neural Network Classifies Spiral Dataset with Decision Boundaries

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@dotcsv

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13 February 2023 0h43

Y aquí lo tenéis! El resultado del código creado en el directo, donde le hemos pedido a la IA que programe una red neuronal que clasifique un dataset de datos en forma de espiral, mostrando las fronteras de decisión en azul y rojo.

La red y la clasificación es simple, pero wow!! pic.twitter.com/36GxgxbN7C
— Carlos Santana (@DotCSV) 12 février 2023

Y aquí lo tenéis! El resultado del código creado en el directo, donde le hemos pedido a la IA que programe una red neuronal que clasifique un dataset de datos en forma de espiral, mostrando las fronteras de decisión en azul y rojo. La red y la clasificación es simple, pero wow!!

→ View original post on X — @dotcsv

13 February 2023

ML Professional Launches GNN Book, Joins JPMorgan UK Team

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@maximelabonne

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12 February 2023 18h29

Back on Twitter after a few chaotic months! A few updates: – I moved to the UK and joined an excellent machine learning team @jpmorgan – I'm publishing a book about Graph Neural Networks for practitioners Stay tuned for more 🙂

→ View original post on X — @maximelabonne

12 February 2023

Backpropagation: Essential for Training Deep Neural Networks

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@oriolvinyalsml

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12 February 2023 18h17

This is very important in Deep Learning: it allows calculating derivatives of highly complex neural networks, composed of stacked layers of simple functions. Gradient descent is used to update the neural net weights, allowing it to learn from data and perform complex tasks.

→ View original post on X — @oriolvinyalsml

12 February 2023

LLM Collaboration and Chain Rules Innovation

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@oriolvinyalsml

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12 February 2023 18h17

The thread above was, of course, written in collaboration with one of our powerful Large Language Models. Long live Chain Rules!

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12 February 2023

Chain Rules: Probability and Calculus in Machine Learning

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@oriolvinyalsml

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12 February 2023 18h17

Chain Rule(s) rules! Appreciation thread of one of the most interesting coincidences in machine learning. Two rules, both named "Chain Rule", happen to be absolutely critical to recent advances in ML & AI. A on the Chain Rule of Probability & the Chain Rule of Calculus

→ View original post on X — @oriolvinyalsml

12 February 2023

DirectoryLoader LangChain loads multiple documents with sources

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@langchain

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12 February 2023 17h43

Loading multiple documents and associating the sources is a great idea! And just happens there’s a “DirectoryLoader” which does exactly that https://
langchain.readthedocs.io/en/latest/modu
les/document_loaders/examples/directory_loader.html
…

→ View original post on X — @langchain

12 February 2023