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Description

AutoKeras, an AutoML framework built on Keras, is designed by the DATA Lab at Texas A&M University. Its primary objective is to democratize machine learning, making it accessible to a wider audience. With an exceptionally user-friendly interface, AutoKeras facilitates a variety of tasks, enabling users to engage with machine learning effortlessly. This innovative approach removes many barriers, allowing individuals without extensive technical knowledge to leverage advanced machine learning techniques.

Description

TensorFlow is a comprehensive open-source machine learning platform that covers the entire process from development to deployment. This platform boasts a rich and adaptable ecosystem featuring various tools, libraries, and community resources, empowering researchers to advance the field of machine learning while allowing developers to create and implement ML-powered applications with ease. With intuitive high-level APIs like Keras and support for eager execution, users can effortlessly build and refine ML models, facilitating quick iterations and simplifying debugging. The flexibility of TensorFlow allows for seamless training and deployment of models across various environments, whether in the cloud, on-premises, within browsers, or directly on devices, regardless of the programming language utilized. Its straightforward and versatile architecture supports the transformation of innovative ideas into practical code, enabling the development of cutting-edge models that can be published swiftly. Overall, TensorFlow provides a powerful framework that encourages experimentation and accelerates the machine learning process.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

E2E Cloud Yes 
Jupyter Notebook Yes 
Keras Yes 
Python Yes 
Amazon EC2 Trn1 Instances No 
BentoML No 
Cloudera Data Platform No 
Groq No 
Jovian No 
MLflow No 
NVIDIA FLARE No 
NVIDIA NGC No 
NVIDIA TensorRT No 
NVIDIA Triton Inference Server No 
Pop!_OS No 
Quobyte No 
Ray No 
Snorkel AI No 
Tausight No 
Unleash live No 

Integrations

E2E Cloud Yes 
Jupyter Notebook Yes 
Keras Yes 
Python Yes 
Amazon EC2 Trn1 Instances Yes 
BentoML Yes 
Cloudera Data Platform Yes 
Groq Yes 
Jovian Yes 
MLflow Yes 
NVIDIA FLARE Yes 
NVIDIA NGC Yes 
NVIDIA TensorRT Yes 
NVIDIA Triton Inference Server Yes 
Pop!_OS Yes 
Quobyte Yes 
Ray Yes 
Snorkel AI Yes 
Tausight Yes 
Unleash live Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

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

Types of Training

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

Vendor Details

Company Name

AutoKeras

Country

United States

Website

autokeras.com

Vendor Details

Company Name

TensorFlow

Founded

2015

Country

United States

Website

www.tensorflow.org

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training Yes 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools Yes 
Templates No 
Visualization Yes 

Alternatives

Alternatives