Deep
Artificial Intelligence
Let’s be clear about what Geoffrey Hinton is saying about deep learning
Geoffrey Hinton, considered by some the godfather of AI for his work in the sphere of deep learning, is leaving Google after ten years so as to warn in regards to the dangers of...
Artificial Intelligence
Digit Classification using deep learning model created using R language. Introduction: Importing crucial libraries: Loading and Preparing MNIST Preparing MNIST and the Collected Handwritten Digits for Training Train and...
Above scores look acceptable and further training could improve performance of our model as well.Lastly, We save our model in order that we could train it again and deploy it as well if model...
Artificial Intelligence
Deep learning pioneer Geoffrey Hinton quits Google
The 75-year-old computer scientist has divided his time between the University of Toronto and Google since 2013, when the tech giant acquired Hinton’s AI startup DNNresearch. Hinton’s company was a spin-out from his...
Artificial Intelligence
From Basic Gates to Deep Neural Networks: The Definitive Perceptron Tutorial Table of Contents 1. Introduction 2. The Mathematics Behind the Perceptron Model 3. The Perceptron Model as...
Towards Mastering AIMathematics, binary classification, logic gates, and moreTL;DRThe world of perceptrons is fascinating. Perceptron models are the constructing blocks of recent artificial intelligence. This blog post makes a protracted story short. Allow us...
Artificial Intelligence
Google gathers AI researchers to create ‘Google Deep Mind’
Google has created a latest organization called 'Google Deep Mind' by gathering artificial intelligence (AI) researchers within the group into one place. It appears to be a measure to reply to the recent...
Artificial Intelligence
How Casavo Uses Deep Learning to Anonymise Images on Casavo’s Real Estate Platform Introduction Sharing Images with Potential Buyers Anonymising Images using Deep Learning Orchestration Conclusion
To further optimise our service, we leveraged KEDA, a Kubernetes Event-driven Autoscaling tool. With KEDA, we were capable of turn the service on and off as needed. Specifically, KEDA would activate the service container...
Artificial Intelligence
Survival Evaluation: Leveraging Deep Learning for Time-to-Event Forecasting
Finally, deep learning models could be used for survival evaluation in addition to statistical models. Here, for example, we are able to see the survival curve of randomly chosen patients. Such outputs can bring...
Artificial Intelligence
Advanced Time-Series Anomaly Detection with Deep Learning in PowerBI
How a posh and cutting-edge approach, creatively borrowed from computer vision, may be implemented in only just a few clicks.ConclusionThis text demonstrates how a reasonably sophisticated time-series anomaly detection algorithm, inspired by computer vision,...
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