Average Ratings 0 Ratings
Average Ratings 2 Ratings
Description
The Intel® Deep Learning SDK offers a comprehensive suite of tools designed for data scientists and software developers to create, train, and implement deep learning solutions effectively. This SDK includes both training and deployment tools that can function independently or in unison, providing a holistic approach to deep learning workflows. Users can seamlessly prepare their training data, design intricate models, and conduct training through automated experiments accompanied by sophisticated visualizations. Additionally, it streamlines the setup and operation of well-known deep learning frameworks that are tailored for Intel® hardware. The intuitive web user interface features a user-friendly wizard that assists in crafting deep learning models, complete with tooltips that guide users through every step of the process. Moreover, this SDK not only enhances productivity but also fosters innovation in the development of AI applications.
Description
Keras is an API tailored for human users rather than machines. It adheres to optimal practices for alleviating cognitive strain by providing consistent and straightforward APIs, reducing the number of necessary actions for typical tasks, and delivering clear and actionable error messages. Additionally, it boasts comprehensive documentation alongside developer guides. Keras is recognized as the most utilized deep learning framework among the top five winning teams on Kaggle, showcasing its popularity and effectiveness. By simplifying the process of conducting new experiments, Keras enables users to implement more innovative ideas at a quicker pace than their competitors, which is a crucial advantage for success. Built upon TensorFlow 2.0, Keras serves as a robust framework capable of scaling across large GPU clusters or entire TPU pods with ease. Utilizing the full deployment potential of the TensorFlow platform is not just feasible; it is remarkably straightforward. You have the ability to export Keras models to JavaScript for direct browser execution, transform them to TF Lite for use on iOS, Android, and embedded devices, and seamlessly serve Keras models through a web API. This versatility makes Keras an invaluable tool for developers looking to maximize their machine learning capabilities.
API Access
Has API
API Access
Has API
Integrations
Activeeon ProActive
Amazon SageMaker Debugger
AutoKeras
Cameralyze
Dataiku
Dragonfly 3D World
Flower
GPUEater
Gemma 3
Gemma 3n
Integrations
Activeeon ProActive
Amazon SageMaker Debugger
AutoKeras
Cameralyze
Dataiku
Dragonfly 3D World
Flower
GPUEater
Gemma 3
Gemma 3n
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
Intel
Founded
1968
Country
United States
Website
software.intel.com/content/www/us/en/develop/articles/deep-learning-training-tool-release-notes.html
Vendor Details
Company Name
Keras
Country
United States
Website
keras.io
Product Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
Product Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization