Siamese-Network
A Siamese Network is a specialized type of neural network architecture designed to process two similar inputs in a symmetrical manner. This unique structure allows the network to learn a similarity metric between the inputs, making it particularly effective for tasks such as image recognition, signature verification, and voice recognition. The architecture consists of two identical branches that share weights and parameters, ensuring that both inputs are treated equally during processing. By extracting relevant features from each input and computing a similarity score, Siamese Networks can efficiently determine how alike the inputs are, enabling various applications in machine learning and artificial intelligence.
Siamese Networks - Line by line explanation for beginners
Siamese Networks are a class of neural networks capable of one-shot learning. This post is aimed at deep learning beginners, who are comfortable with python and the basics of convolutional neural…
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Deep Symmetry: Siamese Neural Networks Explained
Siamese Neural Networks (Siamese NN) are a type of deep learning architecture that processes similar inputs in a symmetrical manner, enabling them to learn a similarity metric between the inputs. In t...
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How to potty train a Siamese Network
Time for an update on my One-Shot learning approach using a Siamese LSTM-based Deep Neural Network we developed for telecommunication network fault identification through traffic analysis. A lot of…
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Implementation of a Siamese Network in Keras and TensorFlow
Member-only story Implementation of a Siamese Network in Keras and TensorFlow Learn the techniques behind object detection (and much more) with example code. Rashida Nasrin Sucky · Follow Published in...
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Siamese Networks: Algorithm, Applications And PyTorch Implementation
Since siamese networks are getting increasingly popular in Deep Learning research and applications, I decided to dedicate a blog post to this extremely powerful technique. I will explain what siamese…...
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Animal recognition with Siamese Networks and Mean Embeddings
When hearing about Siamese Networks you probably think about “Face Recognition”. That’s the most common use of those types of networks. We were trying to do something else: recognize animals based…
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Siamese Networks and Stuart Weitzman Boots
In a previous post I wrote about how you could use a Mask R-CNN model to detect clothing, this post adds a stage 2 siamese network return similarity against known clothing items even from raw images.
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How To Create a Siamese Network With Keras to Compare Images
We are going to have a good time creating this Siamese Network. Maybe, this is a technique a little bit beyond the basics, but I can assure you that it’s useful and easy. The whole code is available i...
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How to train Siamese Network on COVID-19 X-ray images
In this post, I am not solving any problem related to COVID-19 but explore concepts and implementation of SiameseNet on X-ray images. If you wish to look at code you can click on the link below…
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Conversion to Audio may Improve Results: Using Siamese Networks for Nickname Classification
Using siamese networks to learn the similarity between names and nicknames. Converting text to speech improves results. Photo by Waldemar Brandt on Unsplash I use siamese networks in this article to ...
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Siamese NN Recipes with Keras
I have been enjoying Siamese networks for different NLU tasks at my work for quite some time. In this article, I’ll share quick recipes with Keras, featuring Glove vectors or BERT as the text…
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Siamese Networks Introduction and Implementation
Nowadays there are several deep learning models like BERT, GANs, and U-Nets that are achieving a state-of-the-art performance of tasks like image recognition, image segmentation, and language…
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