Gluon is an open-source deep learning API built on top of Apache MXNet. It provides a clear and concise interface for defining, training, and deploying deep learning models. Designed for flexibility and performance, Gluon supports dynamic computation graphs with the option to hybridize them for optimization, combining the best of imperative and symbolic programming.

Features of Gluon (MXNet):

• High-level API for building neural networks with minimal code.
• Dynamic graphs with optional hybridization for speed and efficiency.
• Includes pre-defined layers, loss functions, and training utilities.
• Supports CPU and GPU execution for scalable deep learning workloads.
• Backed by Apache MXNet, with support for multiple programming languages.

To activate the Gluon MXNet environment and check its version, run:

cd /opt
source mxnet-env/bin/activate
pip show mxnet

Disclaimer: Gluon and MXNet are open-source projects licensed under the Apache License 2.0. They are maintained by the Apache Software Foundation and contributors from the open-source community. These tools are provided "as is," without any warranty or guarantees of fitness for a specific purpose.