SKU: 89664174958

Hitachi FYA00001501 Zaxis Series Excavator Door Rear Slider Window Replacement Cab Glass

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Description

Hitachi FYA00001501 Zaxis Series Excavator Door Rear Slider Window Replacement Cab GlassHitachi FYA00001501 Zaxis Series Excavator Door Rear Slider Window Replacement Cab Glass *Please Verify All Measurements And Model Numbers (The WHOLE Model Number). It Is Up To You To Decide For Sure If This Item Fits Your Machine. If You Need Help, Please Call Or Email Us.* Dimensions: 5 MM Thick, 435 MM Width, 797 MM Height 2 Holes DOT Certified Green Tinted Tempered Glass Individually Boxed, Does Not Include Hardware, Frame Or Seals Fits Hitachi

Hitachi FYA00001501 Zaxis Series Excavator Door Rear Slider Window Replacement Cab Glass

*Please Verify All Measurements And Model Numbers (The WHOLE Model Number). It Is Up To You To Decide For Sure If This Item Fits Your Machine. If You Need Help, Please Call Or Email Us.*

Dimensions: 5 MM Thick, 435 MM Width, 797 MM Height 

2 Holes

DOT Certified
Green Tinted Tempered Glass
Individually Boxed, Does Not Include Hardware, Frame Or Seals

Fits Hitachi® Zaxis Series Excavator Models: ZX130-5G, ZX130-5N, ZX130-6N, ZX130LCN-6, ZX160LC-5G, ZX160LC-5N, ZX160LC-6N, ZX180LC-5G, ZX180LC-5N, ZX180LC-6N, ZX190W-5N, ZX190W-6N, ZX200-5G, ZX200LC-5G, ZX210-5G, ZX210-5N, ZX210-6N, ZX210LC-5G, ZX210LC-5N, ZX210LC-6N, ZX230W-5N, ZX250LC-5G, ZX250LC-5N, ZX250LC-6N, ZX290LC-5G, ZX290LC-5N, ZX300LC-6N, ZX345USLC-6N, ZX350LC-5G, ZX350LC-5N, ZX350LC-6N, ZX380LC-5N, ZX380LC-6N, ZX470-5A, ZX470LC-5B, ZX470LC-5G, ZX470LC-6, ZX670LC-5, ZX670LC-6, ZX870LC-5G, ZX870LC-6

This Is A Brand New Aftermarket Item.

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SKU: 89664174958

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4.7 ★★★★★
Based on 13 reviews
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Product Reviews
R
Verified Purchase
R. Cote
Dallas, 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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 5, 2025
R
Verified Purchase
Rafael Azevedo Souza Costa
Houston, 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
T
Verified Purchase
Thomas
San Leandro, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 4, 2024
L
Verified Purchase
La Monte HP Yarroll
Dallas, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 13, 2025
R
Verified Purchase
3rd Act
Omaha, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 7, 2024

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