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 🎰
🧠 A fast and clean supervised neural network in C++, capable of effectively using multiple cores
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
Attention mechanism with MNIST dataset
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
Machine Learning Practise
Derin Öğrenme kullanarak el yazısıyla yazılmış rakamları tanımak için yazılmış bir Flask uygulamasıdır.
Recognize Digits
Using a Convolutional Neural Network (CNN) to identify the Kannada numerical digits. Tensorflow (Keras) is used to create, train and load the neural network model. CustomTKinter/TKinter are used to provide the GUI and OpenCV is used to read input form the GUI.
A Handwritten Single Digit Recognition App
Trying to build a Neural Network from scratch (no Tensorflow/Pytorch, just numpy & math)
Kaggle Top 4% Project. CNN Based high precise MNIST like Kannada digit recognizer
Mouse drawn live Digit Recognizer using Keras CNN and cv2 canvas
A simple Digit Recognizer using the inbuilt dataset in TensorFlow.
kaggle比赛—手写数字识别,比赛链接https://www.kaggle.com/c/digit-recognizer
Digit Recognizer Neural Network
Implementing computer vision fundamentals with the famous MNIST data.
A neural-network based handwritten digit recognition system, coded from scratch.
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