Length : 1 day
Course Description
This course introduces the Tensilica® Vision C5 DSP, and covers architecture, instruction set, and programming. You will be introduced to common CNN Layers, learn vectorization strategies, and become familiar with our AlexNet example implementation.
Learning Objectives
After completing this course, you will be able to:
- Program the Vision C5 DSP and understand how to use some of the key multiply operations for CNN convolutions
- Implement your own custom CNN using the Vision C5 operations.
Software Used in This Course
- Tensilica Xtensa Xplorer
- Tensilica Xtensa Software Tools
Software Release(s)
RG-2017.7
Modules in this Course
- Vision C5 Deliverables
- Vision C5 Architecture Overview
- Introduction to CNN Layers
- Vectorization Strategies for CNN Layers
- Example of a CNN Implementation AlexNet
Audience
- Vision C5 users and DSP programmers
- Developers of computer vision and CNN applications
Prerequisites
You must have experience with or knowledge of the following:
Basic computer vision and CNN application domain knowledge
You should have experience with:
- Programming DSP processors for embedded systems
And you must have completed the following courses:
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