Reading Time: 5 minutes Continuing our series of active interesting community members, this time we have an interview with u/shoumikchow Shoumik lives in Houston, Texas working on his Masters degree in Computer Science and…
Peter
Peter
My name is Peter, I've been enthusiastic about neural networks since I was a kid. I run the awesome reddit community: reddit.com/r/2D3DAI . I also run the ML consultancy and projects company: abelians.com
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Meet the community member behind our logo and color scheme – Parth Batra
by Peterby PeterReading Time: 6 minutes Parth ( u/Sly-Sir ) is the guy who invented our dots and lines logo, which spells 2d3d.ai in Morse code. He is also the one who chose the cool geeky…
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3D modelingGuideMachine LearningNeural NetworkResources
From 2D to 3D Using Neural Nets technical online lecture
by Peterby PeterReading 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…
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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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CodingGuideMachine Learning
Tensorflow 2 Internals – Lessons learned from creating a 50 hours course
by Peterby PeterReading Time: 10 minutes I 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 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…
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Reading Time: 11 minutes Things I learned about provisional patenting while drafting one for an AI software algorithm Intro This post will describe the things I learned about patent writing while writing a provisional…
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Reading Time: < 1 minute This time a post about something we developed – a 3D search engine. User puts in an image of an object, the engine finds in an existing repository of 3D…
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