Compare Keras vs AWS Deep Learning AMIs

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	Keras Get Quote Get Quote	AWS Deep Learning AMIs Get Quote Get Quote

Description	Keras is an open-source library that provides a Python interface for building artificial neural networks. Keras focuses on reducing cognitive load by offering consistent and simple APIs, ... Read More	AWS Deep Learning AMIs (DLAMI) offer machine learning (ML) practitioners and researchers a curated, secure collection of frameworks, dependencies, and tools to expedite deep learning on ... Read More
Free Trial Availability	No free trial	No free trial
	Get Quote	Get Quote

Pricing Option
Pricing Plans	Keras Free Get Started API Combine various building blocks such as layers, optimizers, and loss functions Support multiple deep learning backends like TensorFlow, JAX, and PyTorch Show more +	AWS Deep Learning AMIs Custom Get Started Pre-installed with popular deep learning frameworks like TensorFlow, PyTorch, Apache MXNet, and Keras Support multiple deep learning frameworks and libraries, including TensorFlow, PyTorch, Apache MXNet, Chainer, Keras, Gluon, and more GPU acceleration
	View detailed pricing	View detailed pricing

Organization Types supported
Platforms Supported
Modes of support	24/7 (Live rep) Business Hours Online	24/7 (Live rep) Business Hours Online
API Support	Available	Not Available
	Get Quote	Get Quote

Customers	No Customers information available.	Cimpress Flip AI

Screenshots	2 Screenshots	3 Screenshots

Frequently Asked Questions (FAQs)

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Neither Keras nor AWS Deep Learning AMIs offers a free trial.

Keras is designed for Individuals, Freelancers, Large Enterprises, Medium Business and Small Business.

AWS Deep Learning AMIs is designed for Large Enterprises, Medium Business, Small Business, Freelancers and Individuals.

Pricing details for both Keras and AWS Deep Learning AMIs are unavailable at this time. Contact the respective providers for more information.

Some top alternatives to Keras includes and undefined.

Some top alternatives to AWS Deep Learning AMIs includes and undefined.

Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].