Week 4 Updates

The convolutional neural network being trained with the mnist dataset

This week the team started working on the convolutional neural network (CNN) that will be trained to identify LRU’s and the pins that are being contacted. We have started off by just training the CNN on the mnist dataset (that is provided with tensorflow) to better understand how a CNN works. Moving forward we will be using the computer vision system to capture the data that will then be preprocessed and passed into the CNN. The goal is to develop the preprocessing system and the CNN in parallel to maximize productivity and progress.

Apart from development, the team has been working on the Project Roadmap and the Project First Month Report. We also have started our risk assessment by identifying potential points of failure in the development/structure of our project that may require changes to the Project Roadmap.

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