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What is Pienso?

Creating a topic model from scratch demands advanced programming expertise, which can be both costly and may overshadow the critical comprehension of the underlying data. This technical knowledge often detracts from the fundamental insights that data can provide. The manual process of labeling training data is not only painstaking and labor-intensive but also incurs significant costs. While outsourcing this labeling task to lower-wage workers may speed up the process and lower expenses, it frequently compromises the quality and detail of the results. Each of these approaches leads to a static classification system that can be difficult to modify over time. It is essential to move beyond simple tagging and empower subject matter experts to actively engage with their data to facilitate modeling and analysis. With an abundance of text data available, rich with insights waiting to be uncovered, the necessity for robust tools becomes increasingly evident. Pienso offers a solution to this problem by allowing you to train models using your own data, acknowledging that this personalized method produces the most effective outcomes. Regardless of the nature of your data, whether it is unstructured, semi-structured, lengthy, or concise, Pienso is designed to help you convert it into actionable insights that can inform strategic decision-making. By utilizing Pienso, you have the opportunity to fully harness the capabilities of your data while avoiding the conventional challenges commonly associated with topic modeling. This innovative approach not only simplifies the process but also enhances the overall quality of insights derived from your data.

What is NVIDIA DIGITS?

The NVIDIA Deep Learning GPU Training System (DIGITS) enhances the efficiency and accessibility of deep learning for engineers and data scientists alike. By utilizing DIGITS, users can rapidly develop highly accurate deep neural networks (DNNs) for various applications, such as image classification, segmentation, and object detection. This system simplifies critical deep learning tasks, encompassing data management, neural network architecture creation, multi-GPU training, and real-time performance tracking through sophisticated visual tools, while also providing a results browser to help in model selection for deployment. The interactive design of DIGITS enables data scientists to focus on the creative aspects of model development and training rather than getting mired in programming issues. Additionally, users have the capability to train models interactively using TensorFlow and visualize the model structure through TensorBoard. Importantly, DIGITS allows for the incorporation of custom plug-ins, which makes it possible to work with specialized data formats like DICOM, often used in the realm of medical imaging. This comprehensive and user-friendly approach not only boosts productivity but also empowers engineers to harness cutting-edge deep learning methodologies effectively, paving the way for innovative solutions in various fields.

Media

Media

Integrations Supported

Caffe
Dask
NetApp AIPod
TensorFlow
Torch
Unleash live

Integrations Supported

Caffe
Dask
NetApp AIPod
TensorFlow
Torch
Unleash live

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

Pienso

Date Founded

2016

Company Location

United States

Company Website

www.pienso.com

Company Facts

Organization Name

NVIDIA DIGITS

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/digits

Categories and Features

Deep Learning

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

Text Mining

Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

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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