SKU: 34889432151

Philadelphia Resistance The North Face Connector Backpack

Sale price$76.95 Regular price$85.50
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Ships within 48 hours · Estimated delivery Oct 30 - Nov 4

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Description

Philadelphia Resistance The North Face Connector BackpackPlease choose your size carefully because this item is not returnable. Size chart for this item is below. There's a place for everything you need in this versatile, all utility 28 liter pack. This iconic design features a large main zip compartment with a floating, padded laptop sleeve and the front compartment features an interior organization panel to stash smaller items. 600D polyester, 1200D polyester, 450D x 300D heather polyester, 600D geo

Please choose your size carefully because this item is not returnable. Size chart for this item is below.

There's a place for everything you need in this versatile, all-utility 28-liter pack. This iconic design features a large main zip compartment with a floating, padded laptop sleeve and the front compartment features an interior organization panel to stash smaller items.

  • 600D polyester, 1200D polyester, 450D x 300D heather polyester, 600D geo emboss polyester
  • The FlexVent suspension system boasts custom injection-molded shoulder straps and a padded mesh back panel with a spine channel for maximum support and ventilation
  • Floating padded laptop sleeve in main compartment
  • Secondary compartment has interior organization with a secure zippered pocket, Velcro pocket and pen pockets
  • Reflective bike-light loop, reflective water bottle tabs and reflective shoulder strap webbing create 360-degrees of reflectivity
  • Two mesh water bottle pockets
  • Comfortable, padded top haul handle
  • Sternum strap with whistle buckle
  • Contrast embroidered The North Face logo on front
  • Average weight: 1 lb. 15.39 oz. (890 g)
  • Volume: 1709 in³ (28 liters)
  • Laptop sleeve: 11.75"h x 12.25"d
  • Dimensions: 19.3"h x 12.25"w x 7.5"d
  • The North Face products have decoration requirements that require special handling procedures and may need additional time to fulfill.

SIZE CHART

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 34889432151

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jeff s kittrell
Waukegan, US
★★★★★ 5
Love it - revolutionary approach to teaching, presenting complex concepts
Format: Paperback
This book is a game-changer for neural networks and AI enthusiasts. It takes a revolutionary approach to teaching, presenting complex concepts in a simple and engaging manner. The book is filled with colorful diagrams and illustrations that make learning accessible and enjoyable. I’ve read several other books, but this one stands out. It’s not a beginner’s guide, but once you grasp the early concepts, it takes you to a whole new level of understanding. I will give it 10 stars if I could.
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Reviewed in the United States on June 18, 2025
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Amazon User
Belleville, US
★★★★★ 5
Great book to understand Neural Networks!
Format: Paperback
Loved the book and I highly recommend. It was thorough and very easy to understand.
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Reviewed in the United States on December 1, 2025
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Kyle
Port Orchard, US
★★★★★ 5
Quadruple BAM.
Format: Paperback
Quadruple BAM. Josh Starmer has done it again at a higher level than ever, making deep learning concepts accessible to absolutely anyone.
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Reviewed in the United States on October 22, 2025
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Benjamin
Battle Creek, US
★★★★★ 5
Amazing textbook
Format: Paperback
Awesome book
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Reviewed in the United States on October 12, 2025
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Jesus
Grantham, US
★★★★★ 5
Buen libro para entender conceptos de redes neuronales
Format: Paperback
El libro explica de manera didáctica los principales algoritmos de redes neuronales estilo Statquest. Esperando la versión en español.
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Reviewed in the United States on February 24, 2026

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