courseraАнализ данных

Deep Learning with PyTorch : Siamese Network

Курс от Coursera

Продвинутый≈ 2 чАнглийский

О курсе

In this 2-hour long guided-project course, you will learn how to implement a Siamese Network, you will train the network with the Triplet loss function. You will create Anchor, Positive and Negative image dataset, which will be the inputs of triplet loss function, through which the network will learn feature embeddings. Siamese Network have plethora of applications such as face recognition, signature checking, person re-identification, etc. In this project, you will train a simple Siamese Network for person re-identification.

Навыки, которые вы освоите

Embeddings Deep Learning PyTorch (Machine Learning Library)Image Analysis Network Model Model Training Computer Vision Artificial Neural Networks Convolutional Neural Networks Feature Engineering

Программа курса

1 модулей · 4 учебных материалов

01Project Overview4 материалов

Your Learning Journey

Project OverviewЧтение Deep Learning with PyTorch : Siamese NetworkЛабораторная Assess Your KnowledgeЗадание Course End Survey - We appreciate your feedback!

Учитесь у экспертов

Parth Dhameliya

Machine Learning Instructor