Members-Only
Recent Talks & Demos are for members only
You must be an AI Tinkerers active member to view these talks and demos.
Identifying semiconductor manufacturer from images with convolutional nets
This talk demonstrates how to fine-tune pre-trained convolutional networks in Keras to identify semiconductor manufacturers from images, with a focus on experimentation setup.
I’d like to showcase simple approaches to use convolutional nets — a fundamental building block for deep learning in computer vision — to identify the manufacturer of a semiconductor chip. Semiconductors looks fairly similar when photographed, and telling them apart can be difficult from just an image. I recently implemented a simple approach to fine-tune pre-trained convnets that solves the task quite well. I’d like to briefly go over the approach I used, how I set up experimentation etc.
Fine-tuned VGG16 CNNs classify 27 semiconductor vendors with 75.8% accuracy.
Compose Email
Loading recent emails...