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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Fusion transforms siloed data into unique insights for each user. Lucidworks Fusion allows customers to easily deploy AI-powered search and data discovery applications in a modern, containerized cloud-native architecture. Data scientists can interact with these applications by using existing machine learning models. They can also quickly create and deploy new models with popular tools such as Python ML and TensorFlow. It is easier and less risk to manage Fusion cloud deployments. Lucidworks has modernized Fusion using a cloud-native microservices architecture orchestrated and managed by Kubernetes. Fusion allows customers to dynamically manage their application resources according to usage ebbs, flows, and reduce the effort of deploying Fusion and upgrading it. Fusion also helps avoid unscheduled downtime or performance degradation. Fusion supports Python machine learning models natively. Fusion can integrate your custom ML models.

Description

TensorBoard serves as a robust visualization platform within TensorFlow, specifically crafted to aid in the experimentation process of machine learning. It allows users to monitor and illustrate various metrics, such as loss and accuracy, while also offering insights into the model architecture through visual representations of its operations and layers. Users can observe the evolution of weights, biases, and other tensors via histograms over time, and it also allows for the projection of embeddings into a more manageable lower-dimensional space, along with the capability to display various forms of data, including images, text, and audio. Beyond these visualization features, TensorBoard includes profiling tools that help streamline and enhance the performance of TensorFlow applications. Collectively, these functionalities equip practitioners with essential tools for understanding, troubleshooting, and refining their TensorFlow projects, ultimately improving the efficiency of the machine learning process. In the realm of machine learning, accurate measurement is crucial for enhancement, and TensorBoard fulfills this need by supplying the necessary metrics and visual insights throughout the workflow. This platform not only tracks various experimental metrics but also facilitates the visualization of complex model structures and the dimensionality reduction of embeddings, reinforcing its importance in the machine learning toolkit.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Canopy Yes 
Dataoorts GPU Cloud No 
FindTuner Yes 
GitHub No 
Google Cloud Discovery AI Yes 
Google Colab No 
LLaMA-Factory No 
Ludwig No 
TensorFlow No 

Integrations

Canopy No 
Dataoorts GPU Cloud Yes 
FindTuner No 
GitHub Yes 
Google Cloud Discovery AI No 
Google Colab Yes 
LLaMA-Factory Yes 
Ludwig Yes 
TensorFlow Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

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) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Lucidworks

Founded

2007

Country

United States

Website

lucidworks.com

Vendor Details

Company Name

Tensorflow

Country

United States

Website

www.tensorflow.org/tensorboard

Product Features

eCommerce Personalization

A/B Testing No 
Abandoned Cart Email No 
Dynamic Pricing No 
Offers & Discounts Notifications No 
Personalized Site Navigation No 
Product Recommendations No 
Reporting / Analytics No 
Social Insights No 

Enterprise Search

AI / Machine Learning Yes 
Faceted Search / Filtering No 
Full Text Search Yes 
Fuzzy Search No 
Indexing Yes 
Text Analytics No 
eDiscovery No 

Insight Engines

AI / Machine Learning No 
Augmented Analytics No 
Data Aggregation No 
Data Classification No 
Data Extraction No 
Data Source Connectors No 
Full Text Search No 
Intent Recognition No 
Multiple Data Sources No 
Search / Filter No 
Sentiment Analysis No 

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