SKU: 13831446666

JELD-WEN French 72-in x 80-in 4-9/16-in Low-E Warm Wheat Fiberglass Left-Hand Outswing Double Patio Door

Sale price$824.05 Regular price$915.61
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Description

JELD-WEN French 72-in x 80-in 4-9/16-in Low-E Warm Wheat Fiberglass Left-Hand Outswing Double Patio DoorWarm Wheat Fiberglass Low E French Double Patio Door, Left Hand Outswing A durable, energy efficient fiberglass French patio door in Warm Wheat with clear tempered LowE glass. Prehung double door configuration with insulating core and left hand outswing for effortless operation and long lasting performance. Key Features: Energy Efficiency: LowE, clear tempered glass helps reduce heat transfer and save on energy costs Durable Fiberglass: Resists dents,

Warm Wheat Fiberglass Low-E French Double Patio Door, Left-Hand Outswing

A durable, energy-efficient fiberglass French patio door in Warm Wheat with clear tempered Low‑E glass. Prehung double-door configuration with insulating core and left-hand outswing for effortless operation and long-lasting performance.


Key Features:

  • Energy Efficiency: Low‑E, clear tempered glass helps reduce heat transfer and save on energy costs
  • Durable Fiberglass: Resists dents, warping, rot, water and insect damage with the look of wood
  • Prehung Convenience: Factory-assembled unit with weatherstripping and lockset bore for straightforward installation
  • AuraLast Jambs: Primed, surface-to-core wood protection to resist rot
  • Peace of Mind: Limited lifetime warranty

Specifications Table:

Specification Details
Collection Name French
Color/Finish Family Brown
Exterior Color/Finish Warm Wheat
Interior Color/Finish Warm Wheat
Handle Finish N/A (no handle)
Hardware Finish N/A (no handle)
Actual Depth (Inches) 4.5625
Actual Height (Inches) 78.6875
Actual Width (Inches) 71.5
Actual Width with Sidelights (Inches) 71.5
Common Size (W x H) 72-in x 80-in
Common Width (Inches) 72.0
Jamb Depth (Inches) 4.5625
Jamb Depth Measurement 4-9/16-in
Rough Opening Height (Inches) 79.1875
Rough Opening Width (Inches) 72.0
Brickmould Included No
Configuration Double door
Core Type Insulating core
Door Type French
Glass Insulation Low-E
Glass Strength Tempered
Glass Style Clear glass
Handing Left-hand outswing
Handle(s) Included No
Locking System Included No
Lockset Bore Yes
Material Fiberglass
Pet Door Included No
Prehung Door Yes
Screen Included No
Slab Door No
Weatherstripping Included Yes
ENERGY STAR Certified North/Central Zone Yes
ENERGY STAR Certified Northern Zone Yes
ENERGY STAR Certified South/Central Zone No
ENERGY STAR Certified Southern Zone No
Warranty Limited lifetime
UNSPSC 30171500
CA Residents: Prop 65 Warning(s) Yes

Frequently Asked Questions (FAQ):

Q: Is the door prehung and ready to install?
A: Yes, it is a prehung double French door with weatherstripping and lockset bore.


Q: Does it come with handles or a locking system?
A: No; handles and locksets are not included and must be purchased separately.


Q: What are the actual unit dimensions?
A: Approximately 71.5 in W x 78.6875 in H x 4.5625 in D with a 4‑9/16‑in jamb depth.


Q: Is the glass energy efficient?
A: Yes; it uses Low‑E clear tempered glass and is ENERGY STAR qualified in Northern and North/Central zones.


Q: What is the handing and swing?
A: Left-hand active door that swings outward (outswing).


A Warm, Modern Take on Classic French Elegance

This Warm Wheat French patio door bathes interiors in luminous clarity while grounding the facade in a refined, earthy tone. The slender sightlines and wood-simulating fiberglass create a tailored silhouette that feels both timeless and fresh. Pair it with matte black hardware and textured linens to frame views like art. It’s a sophisticated essential that elevates everyday living with effortless luxury.


Upgrade your patio entry with energy-saving elegance—choose this JELD-WEN fiberglass French door today.

Shipping Notes
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SKU: 13831446666

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4.2 ★★★★★
Based on 13 reviews
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Shannon
Pawtucket, US
★★★★★ 5
The best DL/ML book I have ever seen!!
Format: Hardcover
Fantastic deep-learning book! The logic is very easy to follow, but the content is very thorough when it comes to explaining the theories behind it, making it perfect for beginners as well as math and CS students. The best DL/ML book I have ever seen!!
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Reviewed in the United States on November 30, 2025
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William P Ross
Whiting, US
★★★★★ 5
Comprehensive Look At An Incredibly Complex Topic
Format: Hardcover
Deep Learning is an advanced book with great explanations and details. There is a heavy math focus with the book's beginning chapters detailing the necessary linear algebra and probability that one will need to understand deep learning. I liked that the author's chose to cover only the parts of these subjects which are relevant to deep learning. There are many interesting philosophical sections in the book as well. Just about when I was feeling overwhelmed with the complexity of the mathematics the authors take a step back and cover the foundations of deep learning such as borrowing concepts from human learning. There was an interesting dicussion about the early studies done on the vision of cat's and monkey's in the 1970s. The text covers the entire history of deep learning and the bibliography is hundreds of sources. It is clear this is the most comprehensive text available about deep learning. For anybody interested in this topic this book is a mandatory read. There are sections about machine learning as well, which makes sense because deep learning is a subset of machine learning. These sections focused on the machine learning concepts which are most relevant to deep learning. The book was well organized and divided into three parts which cover mathematics related to deep learning, typical deep learning techniques, and then more experiment learning techniques. Often the author's state when a technique works well or when it does not, and which types of data works best for the technique. Just a warning, the math in this book is highly complex. It requires a lot of work to go through this book, but the effort will be well rewarded.
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Reviewed in the United States on March 15, 2017
A
Verified Purchase
Adam
Battle Creek, US
★★★★★ 4
Too Dry.
Format: Hardcover
This was a required textbook for my class in college. I think it was too dry. The book titled Deep Learning: From Curiosity To Mastery is much more approachable.
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Reviewed in the United States on May 22, 2026
A
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Amazon Customer
Houston, US
★★★★★ 5
Comprehensive! The Bible of Deep Learning!
This book has by far surpassed my expectations! I have purchased many machine learning and deep neural network books in the past, but nothing has ever come close to this book! First of all, it is written by the fathers of Deep Learning, and is therefore an authority. Secondly, the book is broken into three parts: 1. A math overview and refresher. 2. Deep Learning applications and 3. Research in Deep Learning. I can't help but go through this book from front to back. It is a smooth read, and every sentence written is meaningful. These guys know their stuff! And after you read this book, YOU WILL ALSO know your stuff! If you feel daunted by the price, just remember, you get what you pay for! I'd say they could easily charge about $300+ for this book, but they are doing everyone a very kind favor by ONLY charging this reasonable amount. You get A LOT of bang for your buck with this purchase. I hesitated at first about buying this book because of the price, but I am soooooo happy that I did! Worth every penny! Look no further, get this book and start your Deep Learning journey!!
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Reviewed in the United States on July 14, 2017
M
Verified Purchase
mackster
Louisville, US
★★★★★ 1
A rushed, poorly written guide of how the "experts" can't really explain what Deep Learning is
Format: Hardcover
This book, in every sense of the word, is rushed. I think the authors wanted to establish themselves as leaders of this young-ish field, but does so by sacrificing quality. It also shows that Deep Learning theory has been there for a long time, known by another name called Neural Networks. The interesting algorithms are of MLP, Back Propagation and the classical neural networks. The optimization methods such as Adam are the ones that are new and interesting, and the only ones worthy of in this book. So, essentially, what you get from this book is use A for X, B for Y and C for Z type of dry, un-intuitive, badly written waste of paper. As for the structure of the book, it's like an example of how not to structure a book. It has some linear algebra, probability at the start (not good enough, and confuses more people and wastes paper). Goes on to prove other algorithms such as PCA (yeah, ok!). Then, talks about how this architecture works for this and that architecture. So, yeah, if you really want to try out deep learning, don't buy this book. Set up Tensorflow/pytorch/ other library, run the tutorials, find an architecture for the problem you are interested in and start tweaking that. You will have far more fun and would have saved your money. The praise that this book gets is beyond me. Did Musk even read this book? I doubt it.
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Reviewed in the United States on May 15, 2018

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