Summary of “Chester: A Web Delivered Locally Computed Chest X-Ray Disease Prediction System” (2019)

Abstract Deep learning has shown promise to augment radiologists and improve the standard of care globally. Two main issues that complicate deploying these systems are patient privacy and scaling to the global population. To deploy a system at scale with minimal computational cost while preserving privacy we present a web delivered (but locally run) system… Read More

Understanding LeNet (LeCun, 1998)

As an attempt to understand Convolutional Neural Network (CNN/ConvNet) better, I was suggested to read the section about LeNet5 in the original paper and figure out where every numbers come from 🤔 Input layer The input of this neural network is an image of size 32*32 pixels where each pixels are represented by an input… Read More