Paper Title: Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning Authors: Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le ...

Today’s data scientists and machine learning engineers now have a wide range of choices for how they build models to address the various patterns of AI for their particular needs.

CNN is a classifier in machine learning and is an algorithm used to identify patterns of data such as images and videos using neural networks. The basic components for understanding CNN are as ...

Steven Brightfield, Chief Marketing Officer at BrainChip, about neuromorphic computing and its Akida spiking neural network (SNN) platform. This includes chips like the Akida AKD1000 (Fig. 1) as well ...

Here, 16 members of Forbes Technology Council share essential steps in the creation and maintenance of an effective machine learning model. 1. Begin With Operational Leaders’ Insights ...