SKU: 5954114814

Xtrend 21''-24'' Poly Canvas Block Head For Making Head Weft/Wig/Hair Extension Making Display Styling Mannequin Head With Stand

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Description

Xtrend 21''-24'' Poly Canvas Block Head For Making Head Weft/Wig/Hair Extension Making Display Styling Mannequin Head With StandName: Canvas Head Material: Canvas Covers+ Poly Urethane + Plastic Base Size: 23 Inch Canvas Head, Head Height: 12 Inch Weight: 360G+ 10G Pcs, It Is Relevantly Light, Easy To Handle And Manage. Package Included: 1Xcanvas Head,1Xtable Clamp, 50Xt Needle, 1Xc Needle Color: White Canvas, As Picture Shown (All Photos Are Taken Of Actual Product) Other Features: We Have Many Size, No Musty Smell Faq: Q1. How Do I Know What Size To Buy? A: If You Are Using

Name: Canvas Head Material: Canvas Covers+ Poly Urethane + Plastic Base Size: 23 Inch Canvas Head, Head Height: 12 Inch Weight: 360G+-10G/Pcs, It Is Relevantly Light, Easy To Handle And Manage. Package Included: 1Xcanvas Head,1Xtable Clamp, 50Xt-Needle, 1Xc-Needle Color: White Canvas, As Picture Shown (All Photos Are Taken Of Actual Product) Other Features: We Have Many Size, No Musty Smell Faq: Q1. How Do I Know What Size To Buy? A: If You Are Using The Wig Block To Make Custom Wigs For Your Head Only. Use Sewing Tape Measure To Measure Your Forehead. Make Sure Your Hair Lays As Flat As Possible. If You Are Make Wigs For Different People, You Can Choose 22'''' Or 23'''', They Are The Average Size Q2. How Do You Clean The Cloth? A : If You Want To Clean The Cloth, You Can Wipe The Surface With A Damp Towel. Please Keep In Mind That Don'T Wash It In Water Otherwise The Head Circumference Will Inaccurate Q3. Does This Come With The Stand? A : Yes. And There Is A Hole To Fit A Tripod Stand, The Diameter Of The Mounting Hole Is 3Cm Q4. Is The Canvas Head Receptive To T Pins? A : Yes, The T Pins Stay And Are Very Receptive, And The Thread Should Only Go Between Hair And Wig Cap Q5. Is It Possible To Make Felt Hat? A : Yes, The Canvas Head Can Used To Make Felt Hat Q6. Color? A: All Items Are For Real Shooting. For Display, Light, Environmental Reasons May Be A Slight Deviation Phenomenon, Please In Kind Prevail

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SKU: 5954114814

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MrGee
Port Orchard, US
★★★★★ 5
An enjoyable, and seriously excellent, path to understanding Deep Learning...
Format: Paperback
Deep Learning is changing our world. If you want to understand more, this is a great place to start. Andrew Glassner is a talented explainer - I took his short course on Deep Learning and learned so much, but also came away impressed at how well he can make complex material so clear and engaging. And this book is jammed packed with insights, visuals, and clear explanations. The author has a playful, sometimes quirky style that shines through, which gives this tour a lot of personality as well as information. Very enjoyable reading - I felt like he captured all that was good about his course (and then some) and bottled it up in this book. There is a lot more material here than in that course, and it is well laid-out and organized so that it is easy to roam around and come back to review the pieces that matter to you. Even if you plan to go to on to be a world-class Deep Learning engineer or mathematician, you have to start by understanding the concepts. And this book does a great job of presenting all the core ideas in a way that makes them clear and memorable.
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Reviewed in the United States on August 5, 2021
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R. Cote
Houston, 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
Waukegan, US
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
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Reviewed in the United States on May 19, 2025
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Thomas
Massapequa, 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
Charlottesville, 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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