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Published in unpack

·Sep 19, 2021

Common Data Cleansing Problems and Approaches for Image Classification Models

Data cleansing needs to consider many factors, but this article will mainly cover the topic of common labeling errors, as well as ways to approach the handling the images in a data set. …

Data Cleansing

4 min read

Common Data Cleansing Problems and Approaches for Image Classification Models
Common Data Cleansing Problems and Approaches for Image Classification Models

Published in unpack

·Sep 19, 2021

AI Asks: Does what Happen in Vegas Really Stay in Vegas?

Deep Learning examines the brain waves of alcoholics to find out There are diverse psychological, familial and environmental factors that contribute to alcoholism’s many forms. Some are often wrapped up in a chicken vs the egg problem . Genes and brain wave patterns that are more prevalent in alcoholics are…

Fastai

9 min read

AI Asks: Does what Happen in Vegas Really Stay in Vegas?
AI Asks: Does what Happen in Vegas Really Stay in Vegas?

Published in unpack

·Jun 15, 2021

Code on Tensors Representing Images

To learn about a tensor, we are going to first go through a definition of what it is, the benefits of a tensor for parallel processing, and finally some other points on the rules of linear algebra which relate to what is called broadcasting. We will go through this on…

Pytorch

6 min read


Published in unpack

·Jun 15, 2021

Supervised Machine Learning Overview

Supervised Learning is the process of training a machine to be able to create a mapping function that can take input variables (x’s) and map them onto output variables (y). In the case of image classification, this is done by showing the algorithm many labeled images of something e.g. …

6 min read

James Cavanagh

James Cavanagh

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