Explanatory material "Why Do Systems Fail with Deep Learning?"
Based on knowledge and experience in AI system development, this explains four examples of failures and challenges, along with proposed solutions.
This document introduces four examples of failures and challenges related to system development utilizing deep learning, as well as their solutions. It provides a concrete explanation of the constraints related to AI knowledge expansion and judgment, and it can also be useful for understanding the current state of the AI development environment in Japan. 【Topics Covered】 ■ Costs and man-hours of AI implementation ■ Constraints related to knowledge expansion ■ Constraints of knowledge models ■ Challenges faced by AI development in Japan *For more details, please refer to the PDF download. Feel free to contact us with any inquiries.
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