Learn how to train a neural network to recognize hand-drawn digits using PyTorch! A fun and beginner-friendly intro to deep learning and computer vision.

Across a variety of applications, including pattern classification, phrase classification, voice recognition, image identification, text summarization, documentary analysis, scene recognition, and ...

Image classification is one of AI's most common tasks, where a system is required to recognize an object from a given image. Yet real life requires us to recognize not a single standalone object but ...

This section presents a comparison of the classification performance among different works based on the neural network architecture proposed by Diehl and Cook (2015), employing Spiking Neural Networks ...

Hand-written Digit Recognition using Convolutional Neural Network in Python with Tensorflow Abstract: Recently, deep learning has transformed machine learning by significantly enhancing its artificial ...

python computer-vision mnist classification digit-recognition softmax-regression webcam-capture digit-recognition-mnist Updated on Sep 5, 2018 Python ...

A script that trains a model to recognize handwritten digits using the MNIST data set. Then it loads external files and uses the neural network to predict what digits they are. Feel free to add 28x28 ...