[HTML][HTML] Evaluating the single-shot multibox detector and YOLO deep learning models for the detection of tomatoes in a greenhouse
The development of robotic solutions for agriculture requires advanced perception
capabilities that can work reliably in any crop stage. For example, to automatise the tomato …
capabilities that can work reliably in any crop stage. For example, to automatise the tomato …
Performance prediction of gpu-based deep learning applications
Recent years saw an increasing success in the application of deep learning methods across
various domains and for tackling different problems, ranging from image recognition and …
various domains and for tackling different problems, ranging from image recognition and …
Performance evaluation of deep learning frameworks over different architectures
RG Trindade, JVF Lima, AS Charão - … São Pedro, Brazil, September 17-19 …, 2019 - Springer
We evaluate the performance of two well-known Deep Learning frameworks–Caffe and
TensorFlow–on two different types of computing devices–GPU and NUMA CPU architecture …
TensorFlow–on two different types of computing devices–GPU and NUMA CPU architecture …
CLASSIC: A cortex-inspired hardware accelerator
V Puente, JÁ Gregorio - Journal of Parallel and Distributed Computing, 2019 - Elsevier
This work explores the feasibility of specialized hardware implementing the Cortical
Learning Algorithm (CLA) in order to fully exploit its inherent advantages. This algorithm …
Learning Algorithm (CLA) in order to fully exploit its inherent advantages. This algorithm …
[PDF][PDF] Machine Learning Techniques for Software Analysis of Unlabelled Program Modules
E Ronchieri, M Canaparo… - … Symposium on Grids & …, 2019 - pdfs.semanticscholar.org
Software analysis is of vital importance in the assessment of software characteristics. It is
usually based on software measurement and techniques derived from both statistics and …
usually based on software measurement and techniques derived from both statistics and …
[引用][C] Computação heterogênea com gpus e fpgas
R Ferreira, JAM Nacif - Livro dos Minicursos do WSCAD, 2016