Deep Learning Cheatsheet https://t.co/6z5sCUITBI
Luc Cheung and added
The spelled-out intro to neural networks and backpropagation: building micrograd
youtube.comAyoola John added
The content provides an overview of a deep learning course, detailing its curriculum, key concepts, techniques, and practical implementations in areas like neural networks and optimization algorithms.
Linkguaranteed in “deeper” networks with more than two layers, it was possible to build a system that could produce results that were often good enough, opportunistically climbing up the mountain by taking small steps of the right sort, using a technique called backpropagation—now the workhorse of deep learning.*4 Backpropagation works by estimating th
... See moreErnest Davis • Rebooting AI: Building Artificial Intelligence We Can Trust
All modern machine-learning models are based on “neural networks”—programming which mimics the ways in which brain cells interact with each other. Their parameters describe the weights of the connections between these virtual neurons, weights the models develop through trial and error as they are “trained” to respond to specific inputs with the sor... See more
Huge “foundation models” are turbo-charging AI progress
Sterling Proffer added
Mathematical Theory of #DeepLearning [download 267-page PDF]: https://t.co/5KJcm1R01A
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See also this book: https://t.co/8mAbOML2oI
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#AI #DataScience #ML #MachineLearning #Calculus #DataScientists #Mathematics #Algorithms https://t.co/Io6o7uEBzc