jatinallamsetty27 Goto Github PK

artenalv2.0

backpropagation

This repository provides a concise and easy-to-understand implementation of the backpropagation algorithm in Python. Backpropagation is a key algorithm in neural networks that enables learning from labeled examples by adjusting the weights based on prediction errors.

bcdu-net

BCDU-Net : Medical Image Segmentation

brain_tumor_yolov8

coding-practice-ppt

Pre Placement Training Program

data-science-masters-2.0

Assignments and Notes of Data Science Masters 2.0

datalabs-intern

InfraBim Intern solutions for Batch 4

diamondpricepredition

drowsiness-detection-

Drowsiness Detection using Machine Learning

ecommerce-

emotion-detection

Simple emotion detection using machine learning

fake-bank-currency-detection

Machine Learning Application Development Project 2

feed-forward-neural-network

This is a repository consisting of Easy implementation of Feed Forward Neural Networks

first-git

flappy-bird-using-deep-learning

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

forward-forward-networks

Forward forward networks drive information flow in a single direction, enabling efficient and effective processing of data

gitdemo

ideas-and-implementations

These are the ideas of Machine Learning application which I have cross evaluated in my journey.

image-scrapper

Image Scrapper

jatin.github.io

jatinallamsetty27

linkedin-automation

Creating an automated system that monitors competitors' LinkedIn activity, specifically targeting decision-makers' new connections. Based on the 'About Us' section, job description, or recent posts of these new connections, the automation should generate a hyper-personalized connection request to be sent from your LinkedIn account.

lung-cancer-detection

Lung Cancer Detection using React Js and TailWind CSS

lung-cancer-detection-using-ff-networks

Lung Cancer Detection using Forward Forward Neural Networks

mediguardiandemo

A Reactjs based project

mojo

An advancement of python programming

mouth-detection

number-recognition-

Number Recognition using MNIST data

object-detection-using-kalman-filter

The Kalman Filter is a recursive mathematical algorithm used for state estimation, specifically for filtering and smoothing noisy sensor measurements in a dynamic system. It provides an optimal estimate of the true state of a system based on a combination of predicted state and measurements.

one-hidden-layer-neural-network

Implementing a 2-class classification neural network with a single hidden layer