Apache MXNet Training Courses

Apache MXNet Training Courses

Lokale instructeur geleid live Apache MXNet opleidingscursus in Nederland.

Getuigenissen

★★★★★
★★★★★

Apache MXNet Cursusoverzicht

Course Name
Duration
Overview
Course Name
Duration
Overview
21 hours
Overview
MXNet is a flexible, open-source Deep Learning library that is popular for research prototyping and production. Together with the high-level Gluon API interface, Apache MXNet is a powerful alternative to TensorFlow and PyTorch.

This instructor-led, live training (onsite or remote) is aimed at data scientists who wish to use Apache MXNet to build and deploy a deep learning model for image recognition.

By the end of this training, participants will be able to:

- Install and configure Apache MXNet and its components.
- Understand MXNet's architecture and data structures.
- Use Apache MXNet's low-level and high-level APIs to efficiently build neural networks.
- Build a convolutional neural network for image classification.

Format of the Course

- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.

Course Customization Options

- To request a customized training for this course, please contact us to arrange.

Aankomende Apache MXNet cursussen

Weekend Apache MXNet cursus, Avond Apache MXNet training, Avond Apache MXNet opleiding Apache MXNet boot camp, Apache MXNet instructeur geleid, Weekend Apache MXNet training, Avond Apache MXNet cursus, Apache MXNet coaching, Apache MXNet instructeur, Apache MXNet trainer, Apache MXNet training cursus, Apache MXNet lessen, Apache MXNet on-site, Apache MXNet privé cursus, Apache MXNet een op een training, Apache MXNet op locatie, Weekend Apache MXNet opleiding

Cursussen met korting

Course Discounts Newsletter

We respect the privacy of your email address. We will not pass on or sell your address to others.
You can always change your preferences or unsubscribe completely.

Een aantal van onze klanten

This site in other countries/regions