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Tag: machine learning

#003 Linear Algebra – Linear transformations and matrices

23.03.2020

Highlight: Hello and welcome back! This post will be quite an interesting one. We will show how a 2D plane can be transformed into another one. Understanding these concepts is a crucial step for some more advanced linear algebra/machine learning methods (e.g. SVD, PCA). So, let’s proceed and we will learn how to connect a matrix-vector multiplication with a linear transformation. Tutorial Overview: Linear transformation Linear transformation and basis vectors 2×2 Matrix as a linear…
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#000 Linear Algebra for Machine Learning

14.03.2020

Highlights: Linear algebra is a branch of mathematics related to linear equations, linear functions and their representations through matrices and vector spaces. Basically, it is the science of numbers which empowers diverse Data Science algorithms and applications. To fully comprehend machine learning, linear algebra fundamentals are the essential prerequisite. In this post, you will discover what exactly linear algebra is and what are the main applications in the machine learning. Tutorial Overview: You will learn:…
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This avatar can talk to you

29.02.2020

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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#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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