This is a small project about neural networks and backpropagation that I did in school. It uses the MNIST database to learn handwriting recognition. The whole neural network was built from scratch in ...
Abstract: The MNIST dataset has become a standard benchmark for learning, classification and computer vision systems. Contributing to its widespread adoption are the understandable and intuitive ...
1 Department of Electronic Engineering, Universitat Politècnica de Catalunya, Barcelona, Spain 2 Centro de Investigación en Mecatrónica y Sistemas Interactivos—MIST, Universidad Indoamérica, Quito, ...
ABSTRACT: Content Based Image Retrieval, CBIR, performed an automated classification task for a queried image. It could relieve a user from the laborious and time-consuming metadata assigning for an ...
The processing of sequential and temporal data is essential to computer vision and speech recognition, two of the most common applications of artificial intelligence (AI). Reservoir computing (RC) is ...
When training neural networks to recognise things, what you need is a big pile of training data. You then need a subsequent pile of testing data to verify that the network is working as you’d expect.
The MNIST database (Modified National Institute of Standards and Technology database) is a large database of handwritten digits that is commonly used for training various image processing systems. The ...
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