Reading Time: < 1 minute In this talk we will present a new artificial intelligence implementation which takes as input a 2D image and automatically reconstructs a 3D model. The reconstruction can happen in any…
Neural Network
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Machine LearningNeural Networkobject detectionResearch
Overview of Human Pose Estimation Neural Networks – HRNet + HigherHRNet, Architectures and FAQ
by Peterby PeterReading Time: 9 minutes High Resolution Net (HRNet) is a state of the art neural network for human pose estimation – an image processing task which finds the configuration of a subject’s joints and…
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GuideNeural NetworkStatistics
Machine Learning project management – A decision makers’ guide
by Peterby PeterReading Time: 9 minutes Working on many machine learning (ML) projects for many different clients, and discussing the nature of ML project management with other peers and ML specialists we recognized there is sometimes…
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3D modelingMachine LearningNeural NetworkResearch
Implicit-Decoder part 2 – 3D generation
by Peterby PeterReading Time: 4 minutes Intro After Implicit-Decoder part 1 – 3D reconstruction this time talking about 3D generation and limitations for deep learning and 3D. 3D generation Remember GANs? Well, this same technique can…
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Reading Time: 6 minutes Important and recurring phrases in neural networks and what do they mean In previous and future posts I am referring to different terms from the AI and deep learning world…