Zephyrnet Logo

Tag: convolutional neural network

Deep Learning for Image Segmentation with TensorFlow

Introduction Image segmentation is a task in computer vision that involves dividing a particular image into multiple segments where each segment represents an object or...

Snapper provides machine learning-assisted labeling for pixel-perfect image object detection

Bounding box annotation is a time-consuming and tedious task that requires annotators to create annotations that tightly fit an object’s boundaries. Bounding box annotation...

Multimodal Models Explained

Image by Author  Deep learning is a type of intelligence developed to mimic the systems and neurons in the human brain, which play an...

An in-memory computing architecture based on a duplex two-dimensional material structure for in situ machine learning

Hutson, M. Has artificial intelligence become alchemy? Science 360, 478–478 (2018).Article  CAS  Google Scholar  Christensen, D. V. et al. 2022 roadmap on neuromorphic...

Use a data-centric approach to minimize the amount of data required to train Amazon SageMaker models

As machine learning (ML) models have improved, data scientists, ML engineers and researchers have shifted more of their attention to defining and bettering data...

SETI: How AI-boosted satellites, robots could help search for life on other planets

AI-infused algorithms developed to find signs of life in extreme terrestrial environments could help robotic rovers sent to other planets search for signs of...

Exploring the intricacies of deep learning models

Deep learning models have emerged as a powerful tool in the field of ML, enabling computers to learn from vast amounts of data and...

Achieve high performance at scale for model serving using Amazon SageMaker multi-model endpoints with GPU

Amazon SageMaker multi-model endpoints (MMEs) provide a scalable and cost-effective way to deploy a large number of machine learning (ML) models. It gives you...

Free TensorFlow 2.0 Complete Course

Image by Author AI solutions and machine learning systems have revolutionized everything from the way we work to the way we learn. It has...

Identifying defense coverage schemes in NFL’s Next Gen Stats

This post is co-written with Jonathan Jung, Mike Band, Michael Chi, and Thompson Bliss at the National Football League. A coverage scheme refers...

Boffins deploy machine learning in search for intelligent ET

Scientists have developed a machine learning method they think could help filter out interference and more efficiently spot unusual radio signals from space, contributing...

Machine learning for nanoplasmonics

Mayer, K. M. & Hafner, J. H. Localized surface plasmon resonance sensors. Chem. Rev. 111, 3828–3857 (2011).Article  CAS  Google Scholar  Langer, J. et...

Latest Intelligence

spot_img
spot_img