Volver a Deep Learning with PyTorch : Siamese Network
Opiniones y comentarios de aprendices correspondientes a Deep Learning with PyTorch : Siamese Network por parte de Coursera Project Network
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Acerca del Curso
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.
Principales reseñas
MS
16 de oct. de 2022
Overall, it is good enough.
it will be better if there is accuracy calculation,
thank you!
SB
29 de oct. de 2022
A very practical project discovering Siames Network.
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1 - 4 de 4 revisiones para Deep Learning with PyTorch : Siamese Network
por sob b
•17 de oct. de 2022
Overall, it is good enough.
it will be better if there is accuracy calculation,
thank you!
por SABYR B
•30 de oct. de 2022
A very practical project discovering Siames Network.
por Ankit K S
•1 de ene. de 2023
Excellent
por David L
•31 de ago. de 2022
I cannot unenroll this project. Is this normal or will I be charged? I just wanted to explore this and one another guided project.
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