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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.

Description

Luminoth is an open-source framework designed for computer vision applications, currently focusing on object detection but with aspirations to expand its capabilities. As it is in the alpha stage, users should be aware that both internal and external interfaces, including the command line, are subject to change as development progresses. For those interested in utilizing GPU support, it is recommended to install the GPU variant of TensorFlow via pip with the command pip install tensorflow-gpu; alternatively, users can opt for the CPU version by executing pip install tensorflow. Additionally, Luminoth offers the convenience of installing TensorFlow directly by using either pip install luminoth[tf] or pip install luminoth[tf-gpu], depending on the desired TensorFlow version. Overall, Luminoth represents a promising tool in the evolving landscape of computer vision technology.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

TensorFlow
Akira AI
Databricks
Dataiku
GPUEater
Gemma 3n
Gemma 4
GitHub
Google AI Edge
JAX
Jovian
Lambda
MLReef
MLflow
OpenVINO
Radicalbit
RazorThink
StreamFlux
Vectice
teX.ai

Integrations

TensorFlow
Akira AI
Databricks
Dataiku
GPUEater
Gemma 3n
Gemma 4
GitHub
Google AI Edge
JAX
Jovian
Lambda
MLReef
MLflow
OpenVINO
Radicalbit
RazorThink
StreamFlux
Vectice
teX.ai

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
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

Keras

Country

United States

Website

keras.io

Vendor Details

Company Name

luminoth

Website

pypi.org/project/luminoth/

Product Features

Deep Learning

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

Product Features

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Alternatives

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