Tag

deep learning

The Computer Vision Pipeline, Part 2: input images

From Deep Learning for Vision Systems by Mohamed Elgendy

In this part, we will discuss the input images for computer vision systems.

Tidying, Manipulating, and Plotting Data with the tidyverse

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

Computer Vision Pipeline, Part 1: the big picture

From Deep Learning for Vision Systems by Mohamed Elgendy

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.

Free eBook: Exploring Deep Learning for Language

freeSmith_EDLfL

Chapters selected by Jeff Smith

Taking Advice from a Machine

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.

How Does Computer Vision Work?

From Deep Learning for Vision Systems by Mohamed Elgendy

human_and_artificial_sensing
By Mohamed Elgendy

Deep Machine Learning

From Deep Learning Crash Course by Oliver Zeigermann
MMG-deep-machine-learning

Deep Learning with TensorFlow.js

From Deep Learning with JavaScript by Shanqing Cai, Stanley Bileschi, Eric D. Nielsen with Francois Chollet


slideshare-deep-learning-with-tensorflowjs

More Sensitive Suggestions

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.

What Are GANs?

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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