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Author: datahacker.rs

Transforming healthcare with the power of AI

29.02.2020

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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#013 TF TensorFlow Lite

29.02.2020

Highlights: In this post we are going to show how to build a computer vision model and prepare it for deploying on mobile and embedded devices. With this knowledge you can really deploy a script into an everyday use or a mobile app. Tutorial Overview: Introduction Building a model in TensorFlow Converting a model to TensorFlow Lite Post-training quantization 1. Introduction Last time, we showed how we can improve a model performance using transfer learning. But…
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#015 TF Implementing AlexNet in TensorFlow 2.0

29.02.2020

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

29.02.2020

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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Top 10 GitHub Papers :: Image classification

28.02.2020

Image classification refers to a process in computer vision that can classify an image according to its visual content. For example, an image classification algorithm may be designed to tell if an image contains an animal or not. While detecting an object is irrelevant for humans, robust image classification is still a challenge in computer vision applications. In this section, you can find state-of-the-art, greatest papers for image classification along with the authors’ names, link to the…
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