Design of IGBT Parameter Prediction Hardware System Based on LSTM Network

Design of IGBT Parameter Prediction Hardware System Based on LSTM Network

Abstract: Predicting the parameters of Insulated Gate Bipolar Transistors (IGBTs) can effectively avoid economic losses and safety issues caused by their failures. By analyzing the parameters of IGBTs, a System on Chip (SoC) hardware system for IGBT parameter prediction based on LSTM networks is designed. This system uses an ARM processor as the main controller … Read more

F-CNN: Training Convolutional Neural Networks with FPGA Framework

F-CNN: Training Convolutional Neural Networks with FPGA Framework

Author: Amber Original submission to SSD Fans, earn >= 100 CNY for articles. Since AlexNet won the ImageNet challenge in 2012, deep learning technology has been increasingly used in various fields of artificial intelligence. Among them, Convolutional Neural Networks (CNN) have excelled in image classification tasks. However, due to the high computational cost of CNNs, … Read more

Unisoc Tongchuang PCIE Tutorial

Unisoc Tongchuang PCIE Tutorial

Recently, Xiaoyanjing Technology launched a free trial activity based on the Unisoc Tongchuang Logos series PGL50H Pangu 50K development board. In the near future, I will successively present a series of experience reports. This issue shares insights from an FPGA engineer engaged in microelectronic chip design: Death God Durant. This issue presents: Experience with Unisoc … Read more

Fixed-Point Numbers in CNN Networks Improve Performance by 2-6x

Fixed-Point Numbers in CNN Networks Improve Performance by 2-6x

Background of Deep Learning: In March of this year, Google’s AlphaGo emerged and defeated South Korean player Lee Sedol, causing a frenzy in the fields of deep learning and machine learning, not only in academia but also among the general public. Artificial intelligence has had its ups and downs, but currently, the hottest topic is … Read more