SKU: 93648173480

Liquidambar styraciflua 'Gum Ball' | Sweet gum 'Gum Ball' - 280-300cm, 30lt

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Description

Liquidambar styraciflua 'Gum Ball' | Sweet gum 'Gum Ball' - 280-300cm, 30ltLiquidambar styraciflua is a large, deciduous tree with narrow, upright crown when young, conical to rounded when mature, and aromatic, lobed, star shaped, maple like, dark green leaves that turn beautiful orange, dark red and purple in autumn. Clusters of small, inconspicuous yellowish flowers bloom in spring and are followed by hard, rounded, prickly gum balls in autumn that remain on the tree in winter. Liquidambar styraciflua is an adaptable tree,

Liquidambar styraciflua 'Gum Ball' | Sweet gum 'Gum Ball' - 280-300cm, 30lt
Liquidambar styraciflua 'Gum Ball' | Sweet gum 'Gum Ball' - 280-300cm, 30lt
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SKU: 93648173480

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Amazon User
Fort Morgan, 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
Dallas, US
★★★★★ 5
Quadruple BAM.
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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
Massapequa, US
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Amazing textbook
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Awesome book
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Reviewed in the United States on October 12, 2025
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Jesus
Chelsea, 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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Andrea
Draper, US
★★★★★ 5
Visual learners will love this
Format: Paperback
This book is amazing for the visual learner! I've taken numerous online classes that use animated videos to explain deep learning concepts visually, but this book accomplishes the same thing in print! I've also purchased deep learning books with pages and pages of formulas and hardly any illustrations. My brain can't process symbolic math without a picture. Kudos on creating something truly unique and super valuable.
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Reviewed in the United States on February 15, 2025

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