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UPV/EHU, Aula 102 del Aulario de las Nieves, Campus de Álava
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3 de mayo (16:30/19:00)
Únete a nosotros en esta presentación donde hablaremos sobre las capacidades y novedades de MATLAB y otros productos de MathWorks en una de las principales áreas de interés en docencia e investigación hoy en día: la Inteligencia Artificial para Computer Vision y Deep Learning.
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Agenda:
Image Processing and Computer Vision with MATLAB
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Perform image analysis to extract data from images
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Perform image enhancement on noisy images
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Recognize objects using scale- and rotation-invariant features
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Use a cascade-classifier algorithm to find objects of interest
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Ground Truth Labeling
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Track objects using a point tracking algorithm
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Kalman Filtering to predict the location of moving objects
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Deep Learning for Object Detection with MATLAB
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Manage extremely large sets of images
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Visualize networks and gain insight into their black box nature
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Train Deep Neural Networks from scratch
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Leveraging pre-trained networks such as AlexNet or GoogLeNet to perform new recognition tasks using transfer learning
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Import and use pre-trained models from TensorFlow and Caffe
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Perform pixel-level semantic segmentation on images
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Speed up network training with parallel computing on a cluster
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Automatically generate code to run on GPUs, Intel and ARM processors
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Se enviarán certificados de asistencia.
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» Reserva tu plaza ahora.
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