From Deep Learning for Vision Systems by Mohamed Elgendy
In this part, we will discuss the input images for computer vision systems.
From Machine Learning with R, tidyverse, and mlr by Hefin Rhys
This article covers:
• What the tidyverse is
• What’s meant by tidy data
• How to install and load the tidyverse
• How to use the tibble, dplyr, ggplot2 and tidyr packages of the tidyverse
In this article, we’ll zoom in on the interpreting device component (of a computer vision system) to take a look at the pipeline it uses to process and understand images.
Chapters selected by Jeff Smith
Six Questions for Kim Falk author of Practical Recommender Systems
By Frances Lefkowitz
Kim Falk is a Copenhagen-based data scientist who works with machine learning and recommender systems. Keep up with him @kimfalk on Twitter.
By Mohamed Elgendy
From Deep Learning Crash Course by Oliver Zeigermann
From Deep Learning for Search by Tommaso Teofili
This article discusses how neural networks can help generate text that a human might write in order to provide more sensitive suggestions and enhance autocomplete functionality.
By Vladimir Bok, author of GANs in Action
This article discusses the history and meaning of Generative Adversarial Networks, and their potential.
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