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Voltar para Deep Learning with PyTorch : Build an AutoEncoder

Comentários e feedback de alunos de Deep Learning with PyTorch : Build an AutoEncoder da instituição Coursera Project Network

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Sobre o curso

In these one hour project-based course, you will learn to implement autoencoder using PyTorch. An autoencoder is a type of neural network that learns to copy its input to its output. In autoencoder, encoder encodes the image into compressed representation, and the decoder decodes the representation to reconstruct the image. We will use autoencoder for denoising hand written digits using a deep learning framework like pytorch. This guided project is for learners who want to use pytorch for building deep learning models.Learners who want to apply autoencoder practically using PyTorch. In order to be successful in this project, you should be familiar with python , basic pytorch like creating or defining neural network and convolutional neural network....
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1 — 3 de 3 Avaliações para o Deep Learning with PyTorch : Build an AutoEncoder

por Bob K

21 de abr de 2021

por XZS

21 de mar de 2021

por David H

5 de mar de 2021