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You're reading from  Hands-On Meta Learning with Python

Product typeBook
Published inDec 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781789534207
Edition1st Edition
Languages
Python
Tools
TensorFlowOpenAI Gym
Concepts
Reinforcement Learning
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Author (1)
Sudharsan Ravichandiran
Sudharsan Ravichandiran
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Sudharsan Ravichandiran

Sudharsan Ravichandiran is a data scientist and artificial intelligence enthusiast. He holds a Bachelors in Information Technology from Anna University. His area of research focuses on practical implementations of deep learning and reinforcement learning including natural language processing and computer vision. He is an open-source contributor and loves answering questions on Stack Overflow.
Read more about Sudharsan Ravichandiran

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Face recognition using siamese networks

We will understand the siamese network by building a face recognition model. The objective of our network is to understand whether two faces are similar or dissimilar. We use the AT&T Database of Faces, which can be downloaded from here:https://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html.

Once you have downloaded and extracted the archive, you can see the folders s1, s2, up to s40, as shown here:

Each of these folders has 10 different images of a single person taken from various angles. For instance, let's open folder s1. As you can see, there are 10 different images of a single person:

We open and check folder s13:

As we know that siamese networks require input values as a pair along with the label, we have to create our data in such a way. So, we will take two images randomly from the same folder and mark them as a genuine pair and we will take single images from two different folders and mark them as an imposite pair. A sample is...

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Hands-On Meta Learning with Python
Published in: Dec 2018Publisher: PacktISBN-13: 9781789534207
© 2018 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Sudharsan Ravichandiran

Sudharsan Ravichandiran is a data scientist and artificial intelligence enthusiast. He holds a Bachelors in Information Technology from Anna University. His area of research focuses on practical implementations of deep learning and reinforcement learning including natural language processing and computer vision. He is an open-source contributor and loves answering questions on Stack Overflow.
Read more about Sudharsan Ravichandiran

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