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Tag: #deeplearning

This avatar can talk to you

Canadian startup Twenty Billion Neurons creates next generation virtual assistants Founded: 2015 Location: Berlin, Germany/Toronto, Canada Revenue 12,5 M Specialties: Artificial Intelligence, Deep Learning, Machine Learning, Computer Vision, Video Understanding, retail, avatars, retail technology, retail innovation Twenty Billion Neurons (TwentyBN), is a leading provider of real-time, interactive computer vision and artificial intelligence solutions. It is an AI company with the mission of instilling common sense into computers through video understanding and of turning inanimate devices…
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AI powered security system to prevent shootings

Athena Security is a cutting edge A.I. security camera startup with more than 95% accuracy to help reduce crimes and shootings Founded: 2018 Revenue 5,6 M Location: Austin, USA Specialties: Artificial Intelligence, Computer Vision, Cyber Security, Information Technology, Software By the end of 2019, there were more than 400 mass shootings in the U.S. It is the highest number of mass killings in the recent history. Gun violence in the United States needs no introduction.…
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Transforming healthcare with the power of AI

With the help of AI, BenevolentAI provide better treatments for the millions of patients Location: London, UK Founded: 2013 Specialties: Artificial Intelligence, Drug Development, Scientific Innovation, Machine Learning, Engineering, Deep Learning Artificial intelligence and Machine Learning have made great advances for the field of healthcare in last couple of years. AI is getting increasingly sophisticated at doing what humans do, but more efficiently, more quickly and at a lower cost. One of the leaders in…
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#015 TF Implementing AlexNet in TensorFlow 2.0

Highlights: In this post we will show how to implement a fundamental Convolutional Neural Network \(AlexNet\) in TensorFlow 2.0. The AlexNet architecture is designed by Alex Krizhevsky and published with Ilya Sutskever and Geoffrey Hinton. It competed in the ImageNet Large Scale Visual Recognition Challenge in 2012. Tutorial Overview: Review of the Theory Implementation in TensorFlow 2.0 1. Review of the Theory Real life Computer Vision problems requires big amount of quality data to be trained on. In the past, people…
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#014 TF Implementing LeNet-5 in TensorFlow 2.0

Highlights: In this post we will show how to implement a foundamental Convolutional Neural Network like \(LeNet-5\) in TensorFlow. The LeNet-5 architecture was invented by Yann LeCun in 1998 and was the first Convolutional Neural Network. Tutorial Overview: Theory recapitulation Implementation in TensorFlow 1. Theory recapitulation The goal of \(LeNet-5 \) was to recognize handwritten digits. So, it takes as an input \(32\times32\times1 \) image. It is a grayscale image, thus the number of channels is \(1 \).…
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