You're reading from Neural Network Projects with Python

Product typeBook

Published inFeb 2019

Reading LevelBeginner

PublisherPackt

ISBN-139781789138900

Edition1st Edition

Languages

Python

Concepts

Neural Networks

Author (1)

James Loy

Building blocks of CNNs

One of the challenges faced in image classification is that the appearance of objects is dynamic. Just as there are many different breeds of cats and dogs, there are an infinite number of ways cats and dogs can appear in images. This makes it difficult for rudimentary image classification techniques, as it is impossible to show an infinite number of photos of cats and dogs to a computer.

However, this really shouldn't be a problem at all. Humans don't require an infinite number of photos of cats and dogs to differentiate between the two. A toddler can easily differentiate cats and dogs once he has seen just a few of them. If we think about how humans approach image classification, we notice that humans tend to look for landmark features while trying to identify an object. For example, we know that cats tend to be smaller in size compared to dogs...

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Neural Network Projects with Python

Published in: Feb 2019Publisher: PacktISBN-13: 9781789138900

Author (1)

James Loy

James Loy has more than five years, expert experience in data science in the finance and healthcare industries. He has worked with the largest bank in Singapore to drive innovation and improve customer loyalty through predictive analytics. He has also experience in the healthcare sector, where he applied data analytics to improve decision-making in hospitals. He has a master's degree in computer science from Georgia Tech, with a specialization in machine learning. His research interest includes deep learning and applied machine learning, as well as developing computer-vision-based AI agents for automation in industry. He writes on Towards Data Science, a popular machine learning website with more than 3 million views per month.
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Author (1)

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