This paper presents an extensive literature review on Binary Neural Network (BNN). BNN
utilizes binary weights and activation function parameters to substitute the full-precision …

This paper presents the Weight-aware Approximate Multiplication Architecture (W-AMA) for
Deep Neural Networks (DNNs). Considering the Gaussian-like weight distribution, it deploys …

The technology development greatly increases the amount of digital visual information.
Existing devices cannot efficiently process such huge amounts of data. The technical …

Detecting maize crop diseases accurately is a difficult task that farmers face throughout the
maize development and production stages. TensorFlow will be used for Deep Learning and …

This paper proposes an improved LeNet-5 convolutional neural network (CNN) named
MeLy-Net which is more suitable for implementing on the Field Programmable Gate Array …

The energy-efficient high-throughput implementation of neural network inference is crucial in
machine learning applications in the cloud and mobile end devices. Recently, remarkable …

Abstract Recently, Deep Learning (DL) methods are a well-known solution for image and
object detection in computer vision applications. The software-based implementation of DL …

An optical network optimization method is disclosed. The optimization method includes
training a neural network, adjusting at least one of a plurality of auxiliary output values of a …