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Bewertung und Feedback des Lernenden für Deep Learning with PyTorch : Build an AutoEncoder von Coursera Project Network

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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 von 3 Bewertungen für Deep Learning with PyTorch : Build an AutoEncoder

von Bob K

21. Apr. 2021

von XZS

21. März 2021

von David H

5. März 2021