Results 31 to 40 of about 95,777 (258)
Deep Neural Networks on Mobile Healthcare Applications: Practical Recommendations
Proceedings, 2018 Deep learning has for a long time been recognized as a powerful tool in the field of medicine for making predictions or detecting abnormalities in a patient’s data.
Jose I. Benedetto +5 more
doaj +1 more source
Teachable Machine: Deteksi Dialek Sumba Timur (Kambera) Menggunakan Layanan Open Source
Jurnal Nasional Teknik Elektro dan Teknologi Informasi, 2023 Studi penelitian ini dilaksanakan untuk mengembangkan sistem deteksi fonetik dialek Kambera dari bahasa lokal Sumba Timur berbasis framework TensorFlow yang akan diimplementasikan pada aplikasi mobile.
Edwin Ariesto Umbu Malahina
doaj +1 more source
Shipin gongye ke-jiTo evaluate the effectiveness of a deep learning which is based intelligent assisted hyperspectral imaging system on the detection of pork freshness indicators, volatile basic nitrogen (TVB-N), total viable count (TVC), and 900~2500 nm near-infrared ...
Anguo XIE +4 more
doaj +1 more source
Object Recognition with SSD MobileNet Pre-Trained Model in the Cashier Application
Jurnal Sisfokom, 2023 Object recognition is a type of image processing technique that is frequently employed in current applications such as facial identification, vehicle detection, and automated cashiers. One issue with barcode and RFID cashier apps is that they cannot scan
Nazil Ilham Burhanudin +4 more
doaj +1 more source
Handwriting digital recognition and application based on TensorFlow deep learning
Dianzi Jishu Yingyong, 2018 The recognition of handwritten digits is an important part of the artificial intelligence recognition system. Due to the difference in individual handwritten numbers, the existing recognition system has a lower accuracy rate.
Huang Rui, Lu Xuming, Wu Yilin
doaj +1 more source
Journal of Pathology Informatics, 2022 Background: Training convolutional neural networks using pathology whole slide images (WSIs) is traditionally prefaced by the extraction of a training dataset of image patches.
Brendon Lutnick +4 more
doaj +1 more source
Dynamic Control Flow in Large-Scale Machine Learning
, 2018 Many recent machine learning models rely on fine-grained dynamic control flow for training and inference. In particular, models based on recurrent neural networks and on reinforcement learning depend on recurrence relations, data-dependent conditional ...
Abadi, Martín +14 more
core +1 more source
Ultrafast processing of pixel detector data with machine learning frameworks
, 2019 Modern photon science performed at high repetition rate free-electron laser (FEL) facilities and beyond relies on 2D pixel detectors operating at increasing frequencies (towards 100 kHz at LCLS-II) and producing rapidly increasing amounts of data ...
Blaj, Gabriel +2 more
core +1 more source
, 2017 The TensorFlow Distributions library implements a vision of probability theory adapted to the modern deep-learning paradigm of end-to-end differentiable computation. Building on two basic abstractions, it offers flexible building blocks for probabilistic computation.
Dillon, Joshua V. +9 more
openaire +2 more sources
TensorGP – Genetic Programming Engine in TensorFlow [PDF]
, 2021 In this paper, we resort to the TensorFlow framework to investigate the benefits of applying data vectorization and fitness caching methods to domain evaluation in Genetic Programming. For this purpose, an independent engine was developed, TensorGP, along with a testing suite to extract comparative timing results across different architectures and ...
Baeta, Francisco +3 more
openaire +2 more sources