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Building Deep Learning Models with Apache MXNet

 21 Hours
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 (online or onsite) 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.
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