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From 2D to 3D Using Neural Nets technical online lecture
In this talk we present a new artificial intelligence implementation which takes as input a 2D image and automatically reconstructs a 3D model.
Jun 18, 2020
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Peter Naftaliev
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Overview of Human Pose Estimation Neural Networks – HRNet + HigherHRNet, Architectures and FAQ
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…
Jun 13, 2020
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Peter Naftaliev
Machine Learning project management – A decision makers’ guide
Working on many machine learning (ML) projects for many different clients, and discussing the nature of ML project management with other peers and ML…
Apr 13, 2020
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Peter Naftaliev
Tensorflow 2 Internals – Lessons learned from creating a 50 hours course
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…
Feb 17, 2020
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Peter Naftaliev
Implicit-Decoder part 2 – 3D generation
Intro After Implicit-Decoder part 1 – 3D reconstruction this time talking about 3D generation and limitations for deep learning and 3D.
Nov 16, 2019
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Peter Naftaliev
The deep learning dictionary
Important and recurring phrases in neural networks and what do they mean
Nov 11, 2019
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Peter Naftaliev
Survival guide for writing a Provisional Patent Yourself
Things I learned about provisional patenting while drafting one for an AI software algorithm
Nov 9, 2019
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Peter Naftaliev
3D search engine
This time a post about something we developed – a 3D search engine.
Oct 13, 2019
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Peter Naftaliev
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