article thumbnail

Tensorflow- An impressive deep learning library!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Tensorflow (hereinafter – TF) is a fairly young framework for deep machine learning, being developed in Google Brain. The post Tensorflow- An impressive deep learning library! appeared first on Analytics Vidhya.

article thumbnail

Image Tracking And Other Machine Learning Benefits For Photography

Smart Data Collective

Many photographers are discovering the profound benefits of machine learning and other AI capabilities. There have already been a lot of applications for machine learning with photos in marketing. However, it is worth exploring the benefits of machine learning for photography itself. billion in 2019.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Counting shots, making strides: Zero, one and few-shot learning unleashed 

Data Science Dojo

In the dynamic field of artificial intelligence, traditional machine learning, reliant on extensive labeled datasets, has given way to transformative learning paradigms. Welcome to the frontier of machine learning innovation!

article thumbnail

How Machine Learning Enhances Momentum of Cryptocurrency Price Movements

Smart Data Collective

Machine learning technology has made cryptocurrency investing opportunities more lucrative than ever. The impact of machine learning on the market for bitcoin and other cryptocurrencies is multifaceted. Importance of machine learning in forecasting cryptocurrency prices.

article thumbnail

Getting Started with Docker for Machine Learning

Flipboard

Home Table of Contents Getting Started with Docker for Machine Learning Overview: Why the Need? How Do Containers Differ from Virtual Machines? Finally, we will top it off by installing Docker on our local machine with simple and easy-to-follow steps. What Are Containers?

article thumbnail

Build a crop segmentation machine learning model with Planet data and Amazon SageMaker geospatial capabilities

AWS Machine Learning Blog

In this post, we illustrate how to use a segmentation machine learning (ML) model to identify crop and non-crop regions in an image. Our results reveal that the classification from the KNN model is more accurately representative of the state of the current crop field in 2017 than the ground truth classification data from 2015.

article thumbnail

Tensor Processing Units (TPUs)

Dataconomy

Tensor Processing Units (TPUs) represent a significant leap in hardware specifically designed for machine learning tasks. They are essential for processing large amounts of data efficiently, particularly in deep learning applications. TPUs are specialized hardware designed to accelerate and optimize machine learning workloads.