RT Conference Proceedings
T1 On classifying images using Keras and Tensorflow in Python
A1 Stoean, Catalin
K1 Aprendizaje automático (Inteligencia artificial)
AB This hands-on presentation will be focused on practical, essential aspects that are necessary in order to build a custom classifier. The tutorial will start from prerequisites, like the libraries that are necessary to install, to the step-by-step procedure for classifying new classes, which have not been previously learnt, by a pre-trained model using transfer learning. Such a separation of new classes of objects in images starts with the building of the novel image data set, its separation into training, validation and test sets. The model will learn to distinguish the objects from the images in the training set, it will be tuned on a validation set and finally it will face images from the previously unseen test set.
YR 2019
FD 2019-04-18
LK https://hdl.handle.net/10630/17530
UL https://hdl.handle.net/10630/17530
LA eng
NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026