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RGRitochit Ghoshritochit.hashnode.devAug 13, 2025 · 6 min read

Introduction to GenAI - All The Theory You Need To Know

Introduction Generative AI has become an inseparable part of our journey as developers. In this blog, I’ve tried to keep things crisp, simple, and beginner-friendly — whether you’re just curious about what all the hype is about or you’re an amateur d...

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SASheen An Gohsheen-blog.hashnode.devApr 11, 2025 · 2 min read

Back Propagation

Learnings from https://www.youtube.com/watch?v=SmZmBKc7Lrs Problem to solve - Curve Fitting Problem With back propagation, we can solve problems such as finding the best fit curve for a set of data points. For example, given this: We can find out wh...

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SKSunghoon Kimssuhoon.hashnode.devJun 13, 2024 · 3 min read

딥러닝 학습방법 이해하기

신경망을 수식으로 분해해보자 행벡터 $O_i$는 데이터 $X_i$와 가중치 행렬 $W$ 사이의 행렬곱과 절편 $b$ 벡터의 합으로 표현된다고 가정해보자. 행렬은 (1) 데이터를 모아 놓은 행렬($X$)과 (2) 데이터를 다른 공간으로 보내주는 연산자($W$) 역할이 있다. 이는 d개의 변수로 p개의 선형모델을 만들어 p개의 잠재변수를 설명하는 모델을 의미한다. 화살표로 해당하는 것이 가중치 행렬 $W_{ij}$이다. 화살표의 개수는 d...

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NRNayan Rautnayanraut1412blog.hashnode.devMar 23, 2024 · 9 min read

Two Layer BackPropagation Neural Network

Machine learning models learn from data and make predictions. One of the fundamental concepts behind training these models is backpropagation. In this article, we will explore what Backpropagation and Two Layer Back-Propagation Neural Network is, why...

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Introduction to GenAI - All The Theory You Need To Know

Back Propagation

딥러닝 학습방법 이해하기

Two Layer BackPropagation Neural Network