Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
DL4J leverages state-of-the-art distributed computing frameworks like Apache Spark and Hadoop to enhance the speed of training processes. When utilized with multiple GPUs, its performance matches that of Caffe. Fully open-source under the Apache 2.0 license, the libraries are actively maintained by both the developer community and the Konduit team. Deeplearning4j, which is developed in Java, is compatible with any language that runs on the JVM, including Scala, Clojure, and Kotlin. The core computations are executed using C, C++, and CUDA, while Keras is designated as the Python API. Eclipse Deeplearning4j stands out as the pioneering commercial-grade, open-source, distributed deep-learning library tailored for Java and Scala applications. By integrating with Hadoop and Apache Spark, DL4J effectively introduces artificial intelligence capabilities to business settings, enabling operations on distributed CPUs and GPUs. Training a deep-learning network involves tuning numerous parameters, and we have made efforts to clarify these settings, allowing Deeplearning4j to function as a versatile DIY resource for developers using Java, Scala, Clojure, and Kotlin. With its robust framework, DL4J not only simplifies the deep learning process but also fosters innovation in machine learning across various industries.
Description
Let data steer your decisions. The VergeSense analytics platform equips workplace leaders with the ability to evaluate every facet of their office environment. By leveraging this platform, you can make strategic choices that enhance the employee experience while cutting down on real estate expenses. This innovative workplace analytics tool utilizes advanced deep-learning sensors. VergeSense's analytics track the number of individuals in various office locations, providing insights into the usage and occupancy of buildings, specific floors, seating arrangements, conference rooms, and even individual desks. The occupancy metrics from last year are no longer applicable to the current workplace dynamics. Prepare your office with the necessary data to create the most efficient and secure atmosphere for your team. You can find answers to key questions such as: How many employees are visiting the office? What is their frequency and preferred days? Which spaces are utilized and during which times? Which desks are actively being used, and which ones could be made available for reassignment? By understanding these patterns, you can optimize your workspace for better productivity.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Apache Spark
Yes
Aruba Cloud
No
Envoy
No
Eptura
No
Hadoop
Yes
Hubstar Utilization
No
ICONICS' Intelligent Building Software (IBSS)
No
Modo
No
OfficeSpace Software
No
Robin
No
Integrations
Apache Spark
No
Aruba Cloud
Yes
Envoy
Yes
Eptura
Yes
Hadoop
No
Hubstar Utilization
Yes
ICONICS' Intelligent Building Software (IBSS)
Yes
Modo
Yes
OfficeSpace Software
Yes
Robin
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Deeplearning4j
Founded
2019
Country
Japan
Website
deeplearning4j.org
Vendor Details
Company Name
VergeSense
Founded
2017
Country
United States
Website
vergesense.com
Product Features
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No
Product Features
People Counting
API
No
Anonymous Counting
No
Benchmarking
No
Car Counting
No
Conversion Tracking
No
Data Export
No
Events Statistics
No
Heatmaps
No
Mood/Age/Gender Recognition
No
Motion Detection
No
Reporting / Analytics
No
Retail Counting
No
Staff Exclusion
No
WiFi Tracking
No
Zone / Area Monitoring
No