Gluon is an open-source deep learning library developed by AWS and Microsoft, designed to provide a flexible interface for building machine learning models. It simplifies the process of defining, training, and deploying neural networks by offering a high-level API that allows developers to create models using dynamic computation graphs. Gluon is built on top of the Apache MXNet framework, enabling efficient execution and scalability across different hardware platforms.
Gluon
Gluon is an open-source deep learning library developed by AWS and Microsoft, designed to provide a flexible interface for building machine learning models. It simplifies the process of defining, training, and deploying neural networks by offering a high-level API that allows developers to create models using dynamic computation graphs. Gluon is built on top of the Apache MXNet framework, enabling efficient execution and scalability across different hardware platforms.
Howdy Network Rank#66
Top 5*
Machine Learning Frameworks
*Survey of over 20,000+ Howdy Professionals
Explore the Howdy Skills Glossary
About Gluon
Gluon was introduced in 2017 as a collaborative effort between AWS and Microsoft. It was developed to address the need for a more user-friendly deep learning library that could simplify the process of building and deploying neural networks. By providing a high-level API with dynamic computation graphs, Gluon aimed to make machine learning more accessible to developers while maintaining performance efficiency through its integration with the Apache MXNet framework.
Strengths of Gluon include its ease of use with a high-level API, flexibility through dynamic computation graphs, and efficient execution on various hardware platforms due to its integration with MXNet. Weaknesses involve a smaller community and ecosystem compared to more popular frameworks like TensorFlow or PyTorch, which may limit resources and third-party support. Competitors include TensorFlow, PyTorch, and Keras, all of which offer similar functionalities for building and deploying machine learning models.
Hire Gluon Experts
Work with Howdy to gain access to the top 1% of LatAM Talent.
Share your Needs
Talk requirements with a Howdy Expert.
Choose Talent
We'll provide a list of the best candidates.
Recruit Risk Free
No hidden fees, no upfront costs, start working within 24 hrs.
How to hire a Gluon expert
A Gluon expert should possess strong proficiency in Python programming, as Gluon is primarily used through Python interfaces. They should have a solid understanding of deep learning concepts and neural network architectures. Familiarity with the Apache MXNet framework is essential, as Gluon operates on top of it. Skills in data preprocessing and handling various data formats are important for preparing datasets for model training. Additionally, experience with GPU acceleration and distributed computing can enhance performance optimization when deploying models at scale.
The best of the best optimized for your budget.
Thanks to our Cost Calculator, you can estimate how much you're saving when hiring top global talent with no middlemen or hidden fees.
USA
$ 97K
$ 127K
$ 54K
$ 73K
$ 224K
Employer Cost
$ 127K
Employer Cost
Howdy savings:
$ 97K
Benefits + Taxes + Fees
Salary
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.