Can I read NNBlocks: a Blockly framework for AI computing on EtoBox?

NNBlocks: a Blockly framework for AI computing by Tai-Liang Chen; Yi-Ru Chen; Meng-Shiun Yu; Jenq-Kuen Lee is a Computer Science article available to read on EtoBox.

What is NNBlocks: a Blockly framework for AI computing about?

Deep learning compiler tool, Tensor Virtual Machine (TVM), has excellent deployment, compilation, and optimization capabilities supported by the industry following the vigorous growth in neural networks (NN). It has a unified intermediate representation (IR) format that can provide efficient compilation and portability. However, its high operational complexity requires considerable effort in development. For beginners with programming backgrounds, a new and easy-to-use design approach is needed. This paper proposes a visual concept approach that can execute artificial intelligence (AI) computing using block-based tools with AI knowledge. This research also develops a web-based NNBlocks framework that uses this approach to integrate with TVM. We conduct experiments to evaluate this approach: (1) interviewees assessed intuition through operating. (2) Interviewees answered a Usability Metric for User Experience (UMUX) to evaluate usability. (3) Interviewees answered the significance of the theme survey assessment. (4) The impact on the system was evaluated through experiments. The results indicate that interviewees respond positively to the intuitiveness of the framework. The usabilit

Who reads NNBlocks: a Blockly framework for AI computing?

Author

Tai-Liang Chen; Yi-Ru Chen; Meng-Shiun Yu; Jenq-Kuen Lee

Publisher

Springer Science and Business Media LLC

Published

2021

Language

EN

Field

Computer Science (Physical Sciences)