HOW TO LOCATE, CONSTRUCT AND BUILD DEEP LEARNING PROJECTS IN MANUFACTURING INDUSTRIES
AIM:
Learn and practice 1. How to explore and determine ‘landable’ deep learning projects in different domains; 2. How to use
distribution + sequence concept to design deep learning structures; 3. How to combine and config CNN + RNN to build deep learning
models.
AUDIENCE:
Project managers who understand deep learning concepts. Solutions architect, Developers and engineers who are
familiar with deep learning structures.
*Technical details can be adjusted according to audiences’ understandings.
METHODS:
Presentation and Q&A, with short period of practice and group discussion. Code and documentation are hosted on Github.
