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Reinforcement Learning: Markov Decision Process — Part 1

Towards AI

Last Updated on August 30, 2023 by Editorial Team Author(s): Tan Pengshi Alvin Originally published on Towards AI. Image by Ricardo Gomez Angel on Unsplash In most of my previous articles, I have mostly discussed Supervised Learning, with some sprinkling of elements of Unsupervised Learning. Upgrade to access all of Medium.

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Guide to Non-Linear Activation Functions in Deep Learning

Heartbeat

Non-linear activation functions that you need to know Photo by Ricardo Gomez Angel on Unsplash Activation functions are equations or mathematical formulas that help us determine the output of a neural network. The main purpose of an activation function is to derive an output value based on the input value that is fed to a neuron.

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How Mendix is transforming customer experiences with generative AI and Amazon Bedrock

AWS Machine Learning Blog

This post was co-written with Ricardo Perdigao, Solution Architecture Manager at Mendix, a Siemens business. This pivotal service, accompanied by a wealth of shared knowledge via samples and blog posts, has paved a frictionless path for integration.

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