A Machine Learning classifier for recognizing the digits for humans 🎰
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Updated
Jan 23, 2023 - Python
A Machine Learning classifier for recognizing the digits for humans 🎰
Implementing Deep learning in R using Keras and Tensorflow packages for R and implementing a Multi layer perceptron Model on MNIST dataset and doing Digit Recognition
🧠 A fast and clean supervised neural network in C++, capable of effectively using multiple cores
A project I made to practice my newfound Neural Network knowledge - I used Python and Numpy to train a network to recognize MNIST images. Adam and mini-batch gradient descent implemented
Recognize Digits
Machine Learning Practise
Derin Öğrenme kullanarak el yazısıyla yazılmış rakamları tanımak için yazılmış bir Flask uygulamasıdır.
Trying to build a Neural Network from scratch (no Tensorflow/Pytorch, just numpy & math)
Machine Learning Projects
Implementing computer vision fundamentals with the famous MNIST data.
Tensorflow framework to make the CNN- Predict the more accurate values from test dataset
A self coded ANN which can be trained on any data for classification or logistic regression.
Can recognize the handwriting mostly(only) numbers with accuracy using ML & dataset with GUI to write numbers.
an app recognizing written digits. Using Tensorflow Keras and Pygame 🔢 [finished]
pandas, sklearn, seaborn, matplotlib
Implementation of Digit recognizer using the Keras package with Tensorflow in the back end using Pyhton. Got an accuracy of 0.9816 in predicting digits from the images.
Repository containing codes made for different Kaggle's Competitions. Competitions in this repository: Digit Recognizer, Titanic and Kannada MNIST.
Contains basic model for digit recognition using CNN
MNIST handwritten digit recognizer built on PyTorch
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