Stochastic Computing Correlation Utilization in Convolutional Neural Network Basic Functions
نویسندگان
چکیده
منابع مشابه
Correlation Functions in a Large Stochastic Neural Network
Most theoretical investigations of large recurrent networks focus on the properties of the macroscopic order parameters such as population averaged activities or average overlaps with memories. However, the statistics of the fluctuations in the local activities may be an important testing ground for comparison between models and observed cortical dynamics. We evaluated the neuronal correlation ...
متن کاملDouble-Star Detection Using Convolutional Neural Network in Atmospheric Turbulence
In this paper, we investigate the usage of machine learning in the detection and recognition of double stars. To do this, numerous images including one star and double stars are simulated. Then, 100 terms of Zernike expansion with random coefficients are considered as aberrations to impose on the aforementioned images. Also, a telescope with a specific aperture is simulated. In this work, two k...
متن کاملSpeeDO: Parallelizing Stochastic Gradient Descent for Deep Convolutional Neural Network
Convolutional Neural Networks (CNNs) have achieved breakthrough results on many machine learning tasks. However, training CNNs is computationally intensive. When the size of training data is large and the depth of CNNs is high, as typically required for attaining high classification accuracy, training a model can take days and even weeks. In this work, we propose SpeeDO (for Open DEEP learning ...
متن کاملA Radon-based Convolutional Neural Network for Medical Image Retrieval
Image classification and retrieval systems have gained more attention because of easier access to high-tech medical imaging. However, the lack of availability of large-scaled balanced labelled data in medicine is still a challenge. Simplicity, practicality, efficiency, and effectiveness are the main targets in medical domain. To achieve these goals, Radon transformation, which is a well-known t...
متن کاملEMG-based wrist gesture recognition using a convolutional neural network
Background: Deep learning has revolutionized artificial intelligence and has transformed many fields. It allows processing high-dimensional data (such as signals or images) without the need for feature engineering. The aim of this research is to develop a deep learning-based system to decode motor intent from electromyogram (EMG) signals. Methods: A myoelectric system based on convolutional ne...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: TELKOMNIKA (Telecommunication Computing Electronics and Control)
سال: 2018
ISSN: 2302-9293,1693-6930
DOI: 10.12928/telkomnika.v16i6.8955