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What is Deeplearning4j?

DL4J utilizes cutting-edge distributed computing technologies like Apache Spark and Hadoop to significantly improve training speed. When combined with multiple GPUs, it achieves performance levels that rival those of Caffe. Completely open-source and licensed under Apache 2.0, the libraries benefit from active contributions from both the developer community and the Konduit team. Developed in Java, Deeplearning4j can work seamlessly with any language that operates on the JVM, which includes Scala, Clojure, and Kotlin. The underlying computations are performed in C, C++, and CUDA, while Keras serves as the Python API. Eclipse Deeplearning4j is recognized as the first commercial-grade, open-source, distributed deep-learning library specifically designed for Java and Scala applications. By connecting with Hadoop and Apache Spark, DL4J effectively brings artificial intelligence capabilities into the business realm, enabling operations across distributed CPUs and GPUs. Training a deep-learning network requires careful tuning of numerous parameters, and efforts have been made to elucidate these configurations, making Deeplearning4j a flexible DIY tool for developers working with Java, Scala, Clojure, and Kotlin. With its powerful framework, DL4J not only streamlines the deep learning experience but also encourages advancements in machine learning across a wide range of sectors, ultimately paving the way for innovative solutions. This evolution in deep learning technology stands as a testament to the potential applications that can be harnessed in various fields.

What is Ambercite?

Relying solely on a conventional patent search database places you heavily at the mercy of keywords and their semantic relationships, which can often result in a search experience that is imprecise, laborious, and time-intensive. Alternatively, Ambercite Ai utilizes cutting-edge deep-learning and network algorithms to find patents that closely align with one or more seed patents, producing results that are sorted by similarity for remarkably swift and straightforward searches. By combining your expert knowledge with the advanced functionalities of Ambercite Ai, you can achieve a substantial advantage in your research pursuits. Our platform identifies the patents most pertinent and significant to your areas of interest, leveraging state-of-the-art techniques from our AI algorithms alongside an extensive repository of over 106 million patents and 175 million patent citations. This groundbreaking strategy not only saves you time but also mitigates the expenses linked to sifting through less pertinent patent documents. Moreover, features like abstract summaries, representative visuals, and smart review options empower you to concentrate directly on the patents that are most relevant to your specific requirements. In the end, this modernized approach significantly boosts your productivity and enhances the overall success of your patent research efforts, ultimately fostering innovation and progress in your field.

Media

Media

Integrations Supported

Apache Spark
Google Patents
Hadoop

Integrations Supported

Apache Spark
Google Patents
Hadoop

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Deeplearning4j

Date Founded

2019

Company Location

Japan

Company Website

deeplearning4j.org

Company Facts

Organization Name

Ambercite

Company Location

Australia

Company Website

www.ambercite.com/ambercite-ai

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

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