1D CNN VAE on pytorch for MNIST Dataset -- 2

• Complete the code for 1D CNN Variational autoencoder (1D-CNN VAE) using a notebook as seen in VAE_pytorch_custom notebook in the attached.

• Write and comment the meaning of the input of a 1D CNN and others used in pytorch and use the MNIST dataset for it.

• Plot the 2D latent space generated by training a 1D CNN VAE and ensure the latent space corresponds to that obtained for 1D CNN VAE of tensorflow (see attached).

• The first notebook is done for tensorflow and you can use ideas of the network structure for tensorflow to design your pytorch version.

Навыки: Machine Learning (ML), Интеллектуальный анализ данных, Анализ и обработка данных, Искусственный интеллект, Pytorch

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О работодателе:
( 1 отзыв ) GALAXY ZERO, France

ID проекта: #31046580



Hi there, I am a first class honours computer science graduate from top uni. Your project is very close to previous projects, therefore I am capable of doing it. I am currently an academic tutor for graduate-level dee Больше

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Hey there, I can do this project using pytorch. Feel free to inbox me now so that we can discuss about this project. Thank you.

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