Neural Network Simulator

The Stuttgart Neural Network Simulator (SNNS) is a software simulator for neural networks on UNIX workstations developed at the Institute for Parallel and Distributed High Performance Systems at the University of Stuttgart. From this site, you can download descriptions of the software, supported architectures, and licensing terms; you can also download user manuals.

Apr 1st, 1997

Neural Network Simulator

http://www.informatik.unistuttgart.de/ ipvr/bv/ projekte/snns/snns.html

The Stuttgart Neural Network Simulator (SNNS) is a software simulator for neural networks on UNIX workstations developed at the Institute for Parallel and Distributed High Performance Systems at the University of Stuttgart. From this site, you can download descriptions of the software, supported architectures, and licensing terms; you can also download user manuals.

More in Home

New 25Megapixel Camera

New 25Megapixel Camera

Vieworks releases the newest 25megapixel camera with 91.3fps speed, featuring the latest CMOS global shutter image sensor, GMAX0505.

Jai Fusion Series Fs 3200 D 10 Ge Fs 1600 D 10 Ge

New multispectral prism cameras released by JAI

According to the manufacturer, this prism camera design eliminates the need for two separate camera/lighting setups required by certain types of multispectral imaging applications.

Active Silicon Harrier Usb Hdmi Camera Interface Board

Active Silicon adds USB/HDMI camera interface board to Harrier product range

HD modes up to 1080p60 and simultaneous display on both video outputs are supported.

Teledyne E2v Bora Image Sensor Hero

Teledyne e2v announces new time-of-flight CMOS image sensor

An evaluation kit for the Bora image sensor is also available.

Jetson Xavier Nx Module

Jetson Xavier NX embedded artificial intelligence module announced by NVIDIA

The new module supports major AI frameworks including TensorFlow, PyTorch, MxNet, and Caffe.

Boson Thermal Camera Sf Test Image

FLIR Systems and Veoneer partner on thermal sensing camera deployment on autonomous vehicles

Veoneer’s fourth-generation thermal sensing system scheduled for a 2020 release will also feature FLIR thermal sensing cores.

Emva Lakesight Technologies Logos

International Vision Standards Meeting 2019 further develops camera interface standardization

The importance of GenICam for standardization efforts and the increasing role of software standardization.

Six ways deep learning is used in machine vision and imaging today

Deep learning can be applied across several different application types. Here are six recent examples of deep learning technology deployed in the real-world.

Focalspec Line Confocal Imaging Scanner

TKH Group NV acquires FocalSpec for LMI Technologies group

The FocalSpec unit in Oulu will focus on product development and operations and act as the LMI competence center for Line Confocal Imaging technology.

Cognex Sualab Press Release

Cognex announces SUALAB acquisition

The acquisition of SUALAB brings unmanned inspection applications designed for the display, solar, PCB, film, and semiconductor industries into Cognex’s portfolio of machine vision solutions.

Euresys Cxp 12 Frame Grabbers

Euresys expands CXP-12 frame grabber line with one- and two-connection boards

Halcon Mipi Compatibility Announcement

MVTec announces HALCON compatibility with MIPI standard

Allied Vision's Manta camera and SUALAB's SuaKIT deep learning software combine for the inspection of a printed circuit board.

Deep learning software enhances PCB inspection system

SuaKIT’s algorithm is taught with approximately 100 images of normal and defective products, establishing a neural network in about 15 minutes’ time.

Figure 1: With a 12 MPixel CMOS image sensor, the In-Sight 9912 camera targets applications requiring the detection of smaller features in images, imaging large parts, or both.

Smart cameras evolve to meet expanding machine vision needs

Larger image sensors and embedded processing capabilities open new possibilities in imaging.