Reading Time: < 1 minuteIn 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…
Category:
Machine Learning
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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 minutesHigh 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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CodingGuideMachine Learning
Tensorflow 2 Internals – Lessons learned from creating a 50 hours course
by Peterby PeterReading Time: 10 minutesI was asked to teach a course about a new version deep learning framework by google – Tensorflow version 2 to a company of highly technical people creating smart acoustic…
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3D modelingMachine LearningNeural NetworkResearch
Implicit-Decoder part 2 – 3D generation
by Peterby PeterReading Time: 4 minutesIntro 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 minutesImportant 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…