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.

It has been used broadly in pattern recognition, sentence classification, speech recognition, face recognition, text categorization, document analysis, scene, and handwritten digit recognition.

Citation: Vallejo-Mancero B, Madrenas J and Zapata M (2024) Real-time execution of SNN models with synaptic plasticity for handwritten digit recognition on SIMD hardware.

Recognizing handwritten Arabic numbers is very simple for human beings, but it is still somewhat complicated for programs. However, with the popularization of machine learning technology, it is not ...

In recent times, with the increase of Artificial Neural Network (ANN), deep learning has brought a dramatic twist in the field of machine learning by making it more artificially intelligent. Deep ...

Taken together, the results of the study suggest benefits of handwriting on the neural processing and behavioral performance in response to Chinese character recognition and curved-line drawing ...

Kumar-Tarun / handwritten-digit-recognition Star 0 Code Issues Pull requests python computer-vision keras kaggle handwritten-digit-recognition Updated on Jun 4, 2019 Python ...