SKU: 47823697790

Forest Kitchen Garden Trough

Sale price$97.75 Regular price$108.61
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Ships within 48 hours · Estimated delivery Sep 7 - Sep 12

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Description

Forest Kitchen Garden TroughForest Kitchen Garden Trough Forest is the UK's leading specialists for a range garden products. From garden sheds to fencing, they have been making garden products using top quality and sustainable woods and materials for over 50 years. This Forest Kitchen Garden Trough offers a stunning looking planter which allows for a truly unique design, the wood is pressure treated to help protect against rot and fungi decay for 15 years, this planter will

Forest Kitchen Garden Trough

Forest is the UK's leading specialists for a range garden products. From garden sheds to fencing, they have been making garden products using top quality and sustainable woods and materials for over 50 years.

This Forest Kitchen Garden Trough offers a stunning looking planter which allows for a truly unique design, the wood is pressure treated to help protect against rot and fungi decay for 15 years, this planter will ensure your garden is a unique talking point and helps develop your home into a beautiful home.

Additional Information

  • Dimensions (cm): 81 x 100 x 76
  • The Forest Kitchen Garden Trough is perfect growing a variety of herbs for use in your cooking
  • Manufactured from smooth-planed, Pressure Treated timber for a superior build
  • This product is part of our Accessible Gardening range designed in partnership with Thrive, the UK’s leading charity that helps people transform their lives through gardening
  • Holds approx. 121L of compost
  • High quality build and finish
  • 15 Year Anti-Rot Guarantee
  • Delivered flat packed for easy self-assembly
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: 47823697790

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4.7 ★★★★★
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R. Cote
Charlottesville, US
★★★★★ 5
Before GPT can chat, it has to learn.
Format: Paperback
One of the most comprehensive guides to AI and deep learning available. All concepts covered clearly and concisely with illustrations. Complex concepts are broken down into understandable terms. Even though ML and AI require some complex math, you won’t need it to get idea of what’s going on inside the computer’s “brain”. I use this as a reference when teaching AI concepts and preparing presentations. I highly recommend it
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Reviewed in the United States on April 5, 2025
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Rafael Azevedo Souza Costa
West Palm Beach, US
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 19, 2025
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Thomas
Louisville, US
★★★★★ 5
Great for intuitive understanding
Format: Paperback
Amazing book. Great examples and diagrams. If you're looking to get an intuitive grasp of deep learning, look no further. If you're an engineer looking to apply it, I would recommend pairing this with one of the more technical canonical texts and a programming focused book.
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Reviewed in the United States on May 4, 2024
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La Monte HP Yarroll
Grantham, US
★★★★★ 5
Taught me backpropagation
Format: Paperback
I'm finding this book a great reference to supplement Syracuse IST 691 Deep Learning in Practice. In particular, its explanation of backpropagation is the clearest I have found yet, and that even includes 3 Blue 1 Brown, which always does excellent explanations.
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Reviewed in the United States on April 13, 2025
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3rd Act
Belleville, US
★★★★★ 5
An Easy Read
Format: Paperback
A good narrative description of how the various systems work. Good for getting a conceptual understanding. No math to speak of, and if you want it, you can refer to the references cited, or your other favorite machine learning book.
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Reviewed in the United States on May 7, 2024

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