SKU: 57023190093
sewing patterns shirt dress

sewing patterns shirt dress Pattern Bundle

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Description

sewing patterns shirt dress Pattern BundleCombining the Classic Shirt & Classic Shirt Dress sewing patterns, plus the bonus gathered sleeve pack, gives you a wardrobe full of choices. 48 Style choices in fact! PATTERN FEATURES: BUNDLED PATTERNS INCLUDES: Shirt and dress 3 Collar options (standard, frill or mandarin) 3 shirt or dress backs (tailored with darts, pleated or gathered) 8 Sleeve options (Traditional long sleeve with wrist placket, 3 4 length, short sleeve with cuff, Half puff

Combining the Classic Shirt & Classic Shirt Dress sewing patterns, plus the bonus gathered sleeve pack, gives you a wardrobe full of choices. 48 Style choices in fact!

PATTERN FEATURES:

BUNDLED PATTERNS INCLUDES:

  • Shirt and dress
  • 3 Collar options (standard, frill or mandarin)
  • 3 shirt or dress backs (tailored with darts, pleated or gathered)
  • 8 Sleeve options (Traditional long sleeve with wrist placket, 3/4 length, short sleeve with cuff, Half puff sleeve) PLUS 3 extra gathered styles (Tripple gathered sleeve, basic gathered sleeve into cuff or elastic) 
  • 2 Pocket options (patch and in-seam pocket options)
  • Instructions to create a contrasting button stand
  • 48 style options (3 collars x 8 sleeves x 2 length options)
  • Sizes NZ/AU 6-24 | US 2-20 (purchased in size bundles of 4)-refer purchasing options

Please refer "Size & FItting" tab for more information on bust fit.

Share your makes on Instagram & Facebook tagging #TSRClassicShirtDress and @thesewingrevival

FABRIC

Please refer to the FABRIC REQUIREMENT CHART as one of the last images on this product listing. You can magnify this image if viewing it on a mobile phone whilst in a fabric store.

The Classic shirt dress is perfect for light to mid weight WOVEN FABRIC.
We highly recommend cotton and light weight linen.

DIFFICULTY

 INTERMEDIATE

TUTORIALS

Video tutorial support on how to attach the yoke using the Burrito method, how to complete a Full Bust Adjustment (FBA), adding snap fasteners, sewing a sleeve placket.

Please refer "Size & FItting" tab for more info on bust fit.

 

SIZE & FITTING

Choose the syle for the fit you want to acheive.

Small - (NZ/AU/UK 6-8-10-12  | US 2-4-6-8)                    
Medium - (NZ/AU/UK 10-12-14-16  | US 6-8-10-12)       
Large - (NZ/AU/UK 14-16-18-20  | US 10-12-14-16)        
X-Large - (NZ/AU/UK 18-20-22-24  | US 14-16-18-20)    

Both the Classic Shirt & Shirt Dress are designed for a "C" cup there is a VIDEO TUTORIAL on how to complete an easy FBA (Full bust adjustment) for larger busts. If you have a larger bust (and do not wish to complete an FBA) you may like the iGathered Shirt and dress which has much more ease around the chest.

PATTERN HACKS - view pattern hack section of the instructions for cutting out and sewing a contrasting or hidden button stand.


WHAT DO I GET WITH MY PURCHASE?

Please note you are purchasing a digital pattern that will be sent directly to your email inbox after payment. You can print this pattern at home on A4 or US letter-sized paper or take it to a print shop for large scale printing (AO size). *You will not receive a hard copy printed pattern.*

Instant download available immediately after checkout includes:

1. Instructions

2. PAH Pattern file (PAH=Print at home)
For printing in A4 or US Letter on a home printer. Printing at home is the most cost-effective, and sticking your pattern tiles together to make your full size pattern is easy. Further information for printing at home can be found in our Resources section here. 

3. AO Pattern file
AO is a large scale file designed to be printed at a Print Copy Shop. You cannot print this on your home printer as it is too big. If you choose to use this large file you will pay extra to have it printed but you do not have to stick anything together.

You can use the ADOBE LAYERS FEATURE to open the PAH pattern file and print only the size you need (and eliminate the "noise" of the unwanted sizes). You can also use the URL and bookmark links within the file to quickly access information and support. Download Adobe Reader for free (for Windows and Mac) here.

4. Video tutorial support for completing a professional yoke finish, adjusting fit around your bust (FBA), adding snap fasteners & how to sew a sleeve placket.

 

PRINTING

Each PDF sewing pattern comes with 4 sizes (please refer last image for size chart and international size comparisons - hover over the image to magnify).

SHIRT DRESS
Small - (NZ/AU/UK 6-8-10-12  | US 2-4-6-8)                     AO 2pg | PAH 31pg*
Medium - (NZ/AU/UK 10-12-14-16  | US 6-8-10-12)        AO 2pg | PAH 32pg
Large - (NZ/AU/UK 14-16-18-20  | US 10-12-14-16)         AO 2pg | PAH 34pg
X-Large - (NZ/AU/UK 18-20-22-24  | US 14-16-18-20)     AO 2pg | PAH 34 pg

*PAH = Print At Home. For help printing at home click here.
AO= Large scale requiring a special printer. For help printing at a Copy Shop click here

 

Shipping Notes
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SKU: 57023190093

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Zygerian99
Natrona Heights, US
★★★★★ 5
The definitive guide to becoming a researcher in the field
Format: Hardcover
This is not a coding book. I see a lot of negative reviews around the expectation that this book would teach the reader how to quickly build machine learning systems and write code. This book is not for that audience. If you just want to build applications, don't worry about how deep learning works. It's akin to needing to understand how an engine works just to drive a car. If you are looking for a coding resource, try: https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=sr_1_4?keywords=machine+learning+tensorflow&qid=1579608765&sr=8-4 . And even with that book, the material still goes far beyond what you need - use it as a light reference. I bought this book as an aspiring machine learning researcher, and towards that end, it is the best resource available in print (still true as of 2020). For instance: The first 5 chapters are timeless. These are things that were mostly established 20 or 30 years ago and beyond and are mostly STEM fundamentals at this point. There are whole textbooks dedicated to each of those chapters, but the authors provide a quick refresher and overview of probably 80% of what you'll encounter in deep learning. If you haven't previously learned each of these subtopics, you'll probably want to study them individually since they are the key to innovating (linear algebra, probability & stats, numerical computation, machine learning fundamentals). Chapters 6 thru 9 are the foundation of deep learning. We're about 12 years into seeing rapid change in the deep learning space, yet all of these principles and techniques still hold (many recent innovations are still relying on Convolutional models in 2020, which is the most layered/complex topics in those chapters). Therefore, I'd wager that these chapters are also fairly stable knowledge that is worth internalizing if you want to be deeply involved in the future of machine learning. Chapters after 9 are mostly experimental topics, and many of them are already the wrong strategies for optimal results. But there are interesting ideas in here that you'll often encounter in the wild, so it's good exposure to various topics. But probably not worth much of your time. And lastly, there is good history in here from people who know the space intimately. It's a good way to piece together the developments and learn the lexicon of deep learning so you can have intelligent conversation with experts.
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Reviewed in the United States on January 21, 2020
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Shannon
Fort Morgan, 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
Massapequa, 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
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Adam
Carnegie, 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
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Amazon Customer
Draper, 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

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