Introduction In this project, we implement a Multilayer Perceptron (MLP) neural network with weight decay regularization to solve the Fashion MNIST classification problem. The Fashion
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Note:Before compression, the file size was 31 MB, and after compression, it reduced to 10 MB. This is a Python project that demonstrates image compression
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This Python program implements the Perceptron algorithm using the Pocket Algorithm. It is used for binary classification and finding a linear separator that separates two
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Implemented AVL Tree, Min Heap, Huffman Code Tree and Prefix Tree Median Finder with AVL Tree This C++ program implements a median finder using an
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This project is part of a compiler course, aiming to design a compiler for COOL, a unique programming language. A Stack Machine written in COOL
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Image Brightener is an assembly language program that brightens or darkens a folder of images. It takes as input the path to a directory and an
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Overview This project involves the implementation and simulation of core operating system scheduling algorithms, including First-Come-First-Serve (FCFS), Shortest Job First (SJF), Shortest Remaining Time First
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In my Bio-Computing Course Presentation, I explored Solving the Quadratic Assignment Problem Using Bio-Inspired Algorithms. What is Quadratic Assignment Problem? The Quadratic Assignment Problem (QAP)
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Introduction The Cutting Stock Problem is a challenging optimization problem that arises in various industries, including paper manufacturing and sheet metal production. The goal is
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Overview The Particle Swarm Optimization (PSO) Algorithm is a computational method used to optimize a problem iteratively by improving candidate solutions. In this project, we
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