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Deep Learning with PyTorch : Siamese Network

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Course Features

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Duration

2 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

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Video Content

2 hours

Course Description

This 2-hour-long guided-project course will teach you how to implement a Siamese Network. You will also train the network using the Triplet loss function. You will create an Anchor, Positive, and Negative image data, which will be the inputs to the triplet loss function. This will allow the network to learn feature embeddings. Siamese Network has a variety of applications, including face recognition, signature checking and person re-identification. This project will teach you how to train a Siamese Network to perform person re-identification.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Implement siamese network with triplet loss function

Create the training loop for siamese network

Course Instructors

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Parth Dhameliya

Machine Learning Instructor

Parth is a Machine Learning Instructor at coursera. His area of interests includes AI in healthcare,Deep Learning, Machine Learning and Data Science.He focus more on building better medical diagnosti...
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