[2204.09973] Merging of neural networks - arXiv.org
Apr 21, 2022 · Abstract: We propose a simple scheme for merging two neural networks trained with different starting initialization into a single one with the same size as the original ones. We …
A Deep Neural Network for Image Classification Using Mixed
Feb 25, 2024 · A DNN VLSI implementation for image classification using merged analog and digital structure indicates the design and fabrication of a hardware platform, which can perform …
Analog Neural Circuit and Hardware Design of Deep Learning …
Jan 1, 2015 · Previous analog neural network models were composed of the operational amplifier and fixed resistance. It is difficult to change the connecting weight of a network. In this study, …
A Convolutional Neural Network VLSI for Image Recognition Using Merged ...
This paper proposes a convolutional network VLSI architecture using a hybrid approach composed of pulse-width modulation (PWM) and digital circuits. We call this approach …
A VLSI Convolutional Neural Network for Image Recognition Using Merged ...
Sep 3, 2003 · We call this approach merged/mixed analog-digital architecture. The VLSI chip includes PWM neuron circuits, PWM/digital converters, digital adder-subtracters, and digital …
A co-design framework of neural networks and quantum circuits ... - Nature
Jan 25, 2021 · Here, we present a neural network and quantum circuit co-design framework, namely QuantumFlow, to address the issue. In QuantumFlow, we represent data as unitary …
[1805.04980] Unifying and Merging Well-trained Deep Neural Networks …
May 14, 2018 · Given two well-trained networks that may have different architectures that handle different tasks, our method aligns the layers of the original networks and merges them into a …
Projection-Field-Type VLSI Convolutional Neural Networks Using Merged ...
For the LSI implementation, we adopt a merged/mixed analog-digital circuit approach using a large number of analog or pulse modulation circuits. We demonstrate the validity of our LSI …
GitHub - aaanthonyyy/CircuitNet: A hand-drawn schematic sketch ...
CircuitNet aims to automate the conversion of hand-drawn circuit sketches into professional circuit diagrams using deep learning. The system combines traditional image processing for …
A VLSI convolutional neural network for image recognition using merged …
This paper proposes a VLSI convolutional network architecture using a hybrid approach composed of pulse-width modulation (PWM) and digital circuits. We call this approach …