Topic: digit-classification Goto Github
Some thing interesting about digit-classification
Some thing interesting about digit-classification
digit-classification,This project uses autoencoders to denoise MNIST images, aiming to improve handwritten digit recognition by refining classifier training data
User: albinjm
digit-classification,Classification of digits based on their Audio Inputs.
User: ankit152
digit-classification,TensorFlow2 digits classification - Linear Classifier and MLP
User: antonio-f
digit-classification,Making Neural network model from scratch for prediction of digit classification. Its built from scratch using feedforward and backpropagation loops using numpy arrays.
User: charan89
digit-classification,This research aims to enhance the performance of LBP-based convolutional neural networks on the automatic recognition of bilingual handwriting.
User: ebrahimalwajih
Home Page: https://ebrahimalwajih.github.io/TCS-LBCNN/
digit-classification,
User: fbasatemur
digit-classification,A GUI written in C++ in Ubuntu18. Draw a digit and see the recognition result. Training: k-means extracts patch features + PCA + fc layer + cost + SGD training.
User: felixchenfy
digit-classification,Code and data for the Digit Recognizer competition on Kaggle.
User: im-dpaul
digit-classification,A simple project that detects handwritten digits with keras
User: kiarashrahmani
digit-classification,Draw Digits to auto recognise them
Organization: learnlearningplatform
Home Page: https://digit-recognition-app.vercel.app/
digit-classification,Implement digit classification using LibSVM libarary.
User: lychengrex
digit-classification,Kaggle Top 4% Project. CNN Based high precise MNIST like Kannada digit recognizer
User: mcagriaksoy
digit-classification,Web interface to a Convolutional Neural Network (CNN) for classifying handwritten digits
User: mwpryer
Home Page: https://mwpryer-digit-recognition.up.railway.app/
digit-classification,Designd a ML Model from the MNIST dataset to identify digit classification using the SVM algorithm.
User: pratham3012
digit-classification,Simple MNIST Handwritten Digit Classification using Pytorch
User: rafaykhattak
digit-classification,Handwritten Digit Classification on MNIST Dataset, Utilising Only Traditional Machine Learning Techniques and a Custom Feature Extractor, achieving highest accuracy of 98.08% with the same.
User: rishz09
digit-classification,Scene Classification
User: rohitrawat13396
digit-classification,A simple neural network emulator of a multilayer perceptron without using external library methods for classification digits (0, 1, 2 and 3) represented as an array of 0 and 1.
User: ruddanil
digit-classification,It is about implementing KNN(K nearest neighbor) on Mnist dataset which contains digit images
User: senan25
digit-classification,The MNIST dataset was used to train a neural network having a single linear layer with SoftMax employed in the criterion function (Cross Entropy Loss) to classify handwritten digits in classes 0 to 9. The model yielded a 92% accuracy on the MNIST test dataset in 10 training epochs.
User: sharmeen-k
digit-classification,It is a Python GUI in which you can draw a digit and the ML Algorithm will recognize what digit it is. We have used Mnist dataset
User: spidy20
Home Page: https://youtu.be/H_nAvq9KSJo
digit-classification,Digit classification task using Naive Bayes, Perceptron, and MIRA.
User: steepspace
digit-classification, In this part, we developed an interface for Digit Classification using the PyQt5 library in Python.
User: tohid-yousefi
digit-classification,
User: udaram
digit-classification,4th Year Emerging Technologies Project
User: ultan-kearns
digit-classification,I have implemented a Conv2d algo to classify the hand made digits data which can be found on Kaggle . Got an accuracy of 99.76. To download the data for this model go to https://www.kaggle.com/c/digit-recognizer
User: vidyush
digit-classification,In this project, I use Keras and TensorFlow to classify digits and python's Tkinter library to visualize
User: yigitgunduc
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