Capsule Network Implementation On FPGA
SA Adrees, AA Abdulrazeg - Journal of Pure & Applied Sciences, 2020 - sebhau.edu.ly
A capsule neural network (CapsNet) is a new approach in artificial neural network (ANN)
that produces a better hierarchical relationship. The performance of CapsNet on graphics …
that produces a better hierarchical relationship. The performance of CapsNet on graphics …
Approaches for Efficient Autonomous Exploration using Deep Reinforcement Learning
TW Molnar - 2020 - search.proquest.com
For autonomous exploration of complex and unknown environments, existing Deep
Reinforcement Learning (Deep RL) approaches struggle to generalize from computer …
Reinforcement Learning (Deep RL) approaches struggle to generalize from computer …
[PDF][PDF] Computer and Information Sciences
MK Patrick, AF Adekoya, AA Mighty, BY Edward - 2019 - researchgate.net
abstract Modern day computer vision tasks requires efficient solution to problems such as
image recognition, natural language processing, object detection, object segmentation and …
image recognition, natural language processing, object detection, object segmentation and …
[PDF][PDF] IMAGE RECOGNITION USING CAPSULE NETWORK ON FPGA
SALIA ADREES - 2020 - eprints.utm.my
ABSTRACT A capsule neural network (CapsNet) is a new approach in artificial neural
network (ANN) that produces a better model hierarchical relationship. A capsule is a set of …
network (ANN) that produces a better model hierarchical relationship. A capsule is a set of …
Diseño y evaluación de un modelo basado en una red de cápsulas de matrices con em routing utilizando una red convolucional densa
PT Bernal Rios, W Blas Huaman - 2020 - repositorio.unsaac.edu.pe
Actualmente la arquitectura de Aprendizaje Profundo (Deep Learning) con mayor éxito y
más usado en reconocimiento y clasificación de imágenes, visión computacional …
más usado en reconocimiento y clasificación de imágenes, visión computacional …
[PDF][PDF] EXPLAINABILITY OF CAPSULE NETWORKS AND THEIR APPLICATION FOR BRAIN TUMOR CLASSIFICATION
• When deep learning architectures are utilized for making critical decisions such as the
ones that involve human lives (eg, in medical applications), it is of paramount importance to …
ones that involve human lives (eg, in medical applications), it is of paramount importance to …