An implementation of multiclass perceptron as a digit recognizer
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Updated
Dec 13, 2021 - Python
An implementation of multiclass perceptron as a digit recognizer
This research aims to enhance the performance of LBP-based convolutional neural networks on the automatic recognition of bilingual handwriting.
MATLAB digit classifier based on Andrew NG course
This project encompasses a series of modules designed to facilitate the creation, training, and prediction using a PyTorch MLP Neural Network for digit classification based on the MNIST dataset.
2nd Project of Course 'Machine Learning' of the SMARTNET programme. Taken at the National and Kapodistrian University of Athens.
Training different models to solve the MNIST digit dataset
A digit-classifier using CNN
An implementation showcasing the deployment of machine learning model onto the flask server with live demo deployed on AWS Lambda.
A Machine Learning project that uses EM and Bernoulli mixes to classify digits
MNIST Digit Classifier using different models and methods.
Real time digit classifier using python and Deep neural network.
Train an neural network to identify digits written on a canvas
In this project, I use Keras and TensorFlow to classify digits and python's Tkinter library to visualize
A simple digit classifier built using the MNIST dataset
An implementation of a multilayer perceptron in python using numpy. Trained to achieve 96.14% on the MNIST dataset
A digit classifier built using the logistic regression cv learning algorithm.
Deep Learning project with MNIST dataset to help machines recognizing handwritten digits
Machine learner to classify a single handwritten digit on an image.
MNIST Digit Recognition Using Scikit-Learn and Ensemble Learning and Then Make an Web-App Using Flask.
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