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ease
features
design
support

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Description

Our innovative affective AI platform, DeepAffex, identifies, quantifies, and interprets human emotions manifested through both physiological and psychological states. This cloud-based solution employs sophisticated machine learning models to analyze these human affects, ensuring that all computational tasks are handled seamlessly in the cloud environment. Developers have the opportunity to create their own applications or software solutions utilizing our SDK/API, enabling them to retrieve measurement results from the DeepAffex cloud service across a variety of devices, including smartphones, tablets, desktops, kiosks, and web browsers. Additionally, accessing updates from our cloud service is straightforward, allowing users to enhance their capabilities with new measurement features effortlessly. The DeepAffex dashboard serves as a web-based management interface, designed specifically for developers and system administrators, providing a secure way for authorized personnel to oversee their organization’s private accounts on the DeepAffex cloud. With its user-friendly design, DeepAffex aims to streamline the integration of affective analysis into various applications, fostering enhanced emotional intelligence in technology.

Description

Quickly set up a virtual machine on Google Cloud for your deep learning project using the Deep Learning VM Image, which simplifies the process of launching a VM with essential AI frameworks on Google Compute Engine. This solution allows you to initiate Compute Engine instances that come equipped with popular libraries such as TensorFlow, PyTorch, and scikit-learn, eliminating concerns over software compatibility. Additionally, you have the flexibility to incorporate Cloud GPU and Cloud TPU support effortlessly. The Deep Learning VM Image is designed to support both the latest and most widely used machine learning frameworks, ensuring you have access to cutting-edge tools like TensorFlow and PyTorch. To enhance the speed of your model training and deployment, these images are optimized with the latest NVIDIA® CUDA-X AI libraries and drivers, as well as the Intel® Math Kernel Library. By using this service, you can hit the ground running with all necessary frameworks, libraries, and drivers pre-installed and validated for compatibility. Furthermore, the Deep Learning VM Image provides a smooth notebook experience through its integrated support for JupyterLab, facilitating an efficient workflow for your data science tasks. This combination of features makes it an ideal solution for both beginners and experienced practitioners in the field of machine learning.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Chainer
Google Cloud Platform
Google Cloud TPU
Google Compute Engine
JupyterLab
MXNet
NVIDIA DRIVE
PyTorch
TensorFlow

Integrations

Chainer
Google Cloud Platform
Google Cloud TPU
Google Compute Engine
JupyterLab
MXNet
NVIDIA DRIVE
PyTorch
TensorFlow

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

NuraLogix

Country

Canada

Website

nuralogix.ai/deep-affex/

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

cloud.google.com/deep-learning-vm

Product Features

Product 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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