#Csce 588 Neural Networks

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Prashant BasnetFeb 23, 2025
Deep Beliefs Network

If you stack several restricted Boltzmann machine on the top of each other then we form a deep belief networkInput layers -> suplied to 1st RBM -> inputs

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Prashant BasnetFeb 12, 2025
Bayes' Rule | Deep learnings

Bayes' Rule:A fundamental concept in probability theory. It allows us to update our belief about an event based on new evidence.probability of an event A, given

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Prashant BasnetFeb 6, 2025
How Restricted Boltzmann Machines Work? | Deep learning for Recommendation System

Here's a standard Boltzmann Machines:image credit:In theory it's a great problem, where reach node is connected to every other node.As we increase the number of

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Brain DumpJan 1, 2025
Understanding GPT-3: From Embeddings to Predictions | Transformer

Understanding how GPT-3 works gives us a glimpse into the cutting-edge technology shaping how we interact with the world.From powering chatbots and virtual assi

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Prashant BasnetDec 30, 2024
What is GPT ? Transformer | Machine Learning Model

What GPT-3 Means: GPT means generative pre-trained transformer, 3 means 3rd generation.Generative: Means bot that can generate new text.Pre-trained: Pre-trained

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Anonymous UserDec 24, 2024
Auto Encoders | Unsupervised Learning Model

What are Auto Encoders?Directed neural network. Auto encoders encode itself. It takes some input goes through hidden layers, then outputs. It aims for the outpu

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Brain DumpNov 22, 2024
Dynamics of a Small Dendritic Neural Network

This document is about new way of training artificial neural network, that tries to mimic how a brain might learn.Traditional method of training AI like Back pr

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