Pre-Owned Pytorch Pocket Reference: Building and Deploying Deep Learning Models (Paperback) 149209000X 9781492090007
O'Reilly Media

Pre-Owned Pytorch Pocket Reference: Building and Deploying Deep Learning Models (Paperback) 149209000X 9781492090007

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  • PyTorch Pocket Reference: Building and Deploying Deep Learning Models
  • ISBN-10 149209000X, ISBN-13 9781492090007
  • Author: Papa; Joe
  • 1 edition
  • 307 pages
  • O'Reilly Media
  • Binding: Paperback
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What is Pre-Owned: Good?

Has been read and shows minimal signs of wear like an owner's inscription or foxing, but no tearing and all pages are present.

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Product image for illustration purposes only. The item you receive may vary from the image in minor ways, such as slight differences in appearance, color, and/or design. *Exceptions apply during holiday season, and on certain electronics, collectibles, and jewelry.

Pre-Owned: Good

A well-cared-for item that has seen limited use but remains in great condition. Item and instructions are complete and included.

What is the Walmart Pre-Owned Program?

Walmart Pre-Owned allows you to find previously owned, well-cared-for items from Walmart’s trusted & performance-managed sellers. Shopping Pre-Owned allows you to bring home the best-quality picks at even lower prices, in addition to extending the life of an item & reducing waste. Find your favorites & shop a range of conditions in every category.

See here for additional details & specific condition qualifications.

Why Walmart Pre-Owned?

Trusted sellers & quality items

Each Pre-Owned item listed comes from Walmart’s trusted performance-managed sellers, to ensure you get quality items.

Quality you can afford

Save even more on top brands & your most-loved items.

30-day free returns

Don’t love it? Most items offer a 30-day* free return policy, for added peace of mind.

Sustainability

Shopping Pre-Owned helps in extending the life of an item & reducing waste.

Product image for illustration purposes only. The item you receive may vary from the image in minor ways, such as slight differences in appearance, color, and/or design. *Exceptions apply during holiday season, and on certain electronics, collectibles, and jewelry.

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