kiananvari/CNN-rock-paper-scissors-image-classicification kiananvari/CNN-rock-paper-scissors-image-classicification

  • Stars
    star
    9
  • Rank 1,939,727 (Top 39 %)
  • Language
    Jupyter Notebook
  • Created over 1 year ago
  • Updated over 1 year ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
kiananvari/CNN-rock-paper-scissors-image-classicification
github

kiananvari

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Rock-Paper-Scissors Image Classification Using CNN - Neural Netwroks

More Repositories

1

MNRSR-for-wildlife-image

Python implementation of Mixed noise reduction via sparse error constraint representation of a high-frequency image for wildlife image
Python
15
star
2

Handwritten-Equation-Solver-Neural-Network

Implementing a neural network that recognizes handwritten equations on paper and solves them
Jupyter Notebook
13
star
3

Zonya

Front-End Project
SCSS
10
star
4

Linear-Regression-Pseudo-inverse

Python Implementation of Linear Regression and Pseudo-inverse - Neural Networks
Jupyter Notebook
10
star
5

implementation-of-optimizers-and-regularizations-techniques

implementation of optimizers and regularizations techniques and test the result of them in Fashion MNIST classifier neural network.
Jupyter Notebook
10
star
6

Back-Propagation-in-Neural-Network

Python Implementation of Back Propagation Learning Algorithm in Neural Network
Jupyter Notebook
10
star
7

LSTM-price-prediction

LSTM Price Prediction - Neural Networks
Jupyter Notebook
10
star
8

Marvel-App

Marvel Heros iOS Application - Swift
Swift
10
star
9

Auto-associative-Neural-Networks

Training the associative neural network to associate 'A', 'B', 'C' characters - Neural Networks
Jupyter Notebook
10
star
10

The-possibility-of-heart-disease-with-gaussian-naive-bayes-algorithm

Python Implementation of The possibility of heart disease with gaussian naive bayes algorithm
Jupyter Notebook
10
star
11

perceptron-learning-rule

Python Implementation of Perceptron learning rule - Neural Networks
Jupyter Notebook
9
star
12

toDoList_ios_application

toDo Application - Swift Language
Swift
9
star
13

MNIST-classification-with-neural-network-compression

Deep Neural Network Compression for Image Classification - Neural Networks
Jupyter Notebook
9
star
14

basic_global_thresholding_algorithm

Basic global thresholding algorithm - Image Processing
Jupyter Notebook
8
star
15

MTMS-A-Domain-Adaptive-Meta-Knowledge-Distillation-Model-for-Medical-Image-Classification

This repository contains the official implementation of the paper titled "Multiple Teachers-Meticulous Student: A Domain Adaptive Meta-Knowledge Distillation Model for Medical Image Classification".
Python
8
star
16

carPlateRecognition_iOS_Application

carPlateRecognition - Swift Language
Swift
8
star
17

CIFAR10-Denoising-Using-UNET

CIFAR10 Image Denoising Using U-NET
Jupyter Notebook
6
star
18

CIFAR10-Classification-Using-CNN

CIFAR10 Classification Using CNN
Jupyter Notebook
5
star
19

MR-Denoising-with-Wider-Neural-Network

Implementing denoising of MR images with Rician noise using a wider neural network. Based on the paper "Denoising of MR images with Rician noise using a wider neural network and noise range division" by Zhang et al. Includes training, testing, and evaluation of denoising performance.
Python
5
star
20

PersianSpeechRecognition-RNN-LSTM-GRU

Jupyter Notebook
4
star
21

MNIST-Classification-using-PyTorch

MNIST Classification using PyTorch - PyTorch workshop
Jupyter Notebook
4
star
22

HMMEvaluationKit

A comprehensive toolkit for evaluating Hidden Markov Models (HMMs). It provides implementations for calculating the probabilities of observations, making it a valuable resource for those working in fields such as speech recognition, natural language processing, and bioinformatics.
Jupyter Notebook
4
star
23

basic-color-constancy-methods

This repository contains implementations of basic color constancy methods for image processing, including White Patch, Gray World, and Gray Edge. These algorithms aim to correct color casts and improve color balance in images. The code can be used as a starting point for exploring and comparing different color normalization techniques.
Jupyter Notebook
4
star
24

Snappfood-Sentiment-Analysis-using-BERT-Model

Snappfood Sentiment Analysis using BERT Model
Jupyter Notebook
3
star
25

Reinforcement-learning-Robot-Navigation

This repository contains the implementation code and simulated environment for training robots to autonomously navigate and reach a goal while avoiding obstacles. The reinforcement learning algorithm used is Proximal Policy Optimization (PPO).
Python
3
star
26

AllAboutDecisionTree

The All About Decision Trees repository contains Python implementations of the ID3 and CART algorithms for constructing decision trees, along with different impurity measures such as the Gini index and entropy index.
Python
3
star
27

Content-Noise-Complementary-Learning-for-Medical-Image-Denoising

This repository contains an implementation of the "Content-Noise Complementary Learning for Medical Image De-noising"
Jupyter Notebook
3
star
28

Robot-Manipulator-Control-Using-Reinforcement-Learning

This repository contains the implementation of a robot manipulator control system using reinforcement learning techniques. The goal of this project is to train a robot to navigate an environment, detect different targets, and avoid obstacles using reinforcement learning algorithms such as PPO and curriculum learning.
Python
3
star
29

Cooperative-Load-Transportation-With-Two-Quadrotors-Using-Reinforcement-Learning

This project aims to synchronize two carrier quadcopters to move a rod from the origin to the destination. The project utilizes deep curriculum reinforcement learning techniques to train the quadcopters to perform this task in a synchronized manner while maintaining balance.
Python
2
star
30

Image-classification-using-HMMs

This project is a Fashion_MNIST image classification using a hidden Markov model (HMM) in Python. It includes the code for training and evaluating the HMM on the Fashion-MNIST dataset and provides evaluation results such as accuracy, F1-score, and AUC-ROC.
Jupyter Notebook
2
star
31

LogisticRegressionKit-With-GeneticAlgorithm

This repository includes implementations of both linear and non-linear logistic regression models, along with the integration of genetic algorithms for enhancing the performance and optimization of logistic regression.
Python
2
star
32

Medical-Image-Classification-Using-Federated-Learning

This project aims to classify COVID-19 Lung CT scans into two classes, namely COVID and NonCOVID, using federated learning techniques.
Jupyter Notebook
2
star
33

GradCAM-Explainable-AI

This repository contains an implementation of GradCAM (Gradient-weighted Class Activation Mapping) in PyTorch.
Jupyter Notebook
1
star