peasant smock dress 148 Black Forest Smock
SKU: 93501091266
peasant smock dress

peasant smock dress 148 Black Forest Smock

Sale price$26.06 Regular price$28.96
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Size: 4

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Description

peasant smock dress 148 Black Forest SmockMisses' 6 16; Men's 36 44. This traditional smock was called a Kittel, or over garment, worn by workers in Germany, Switzerland, and France. Soft pleats fall from a wide neckband. Sleeves connect to side panels with gussets and are pleated at the wrists into buttoned cuff bands. Shoulder yokes, pocket welts, neckband, and cuffs were often decorated with chain stitching (design and instructions are included inside pattern). Our Black Forest Smock can

Misses' 6-16; Men's 36-44.

This traditional smock was called a Kittel, or over-garment, worn by workers in Germany, Switzerland, and France. Soft pleats fall from a wide neckband. Sleeves connect to side panels with gussets and are pleated at the wrists into buttoned cuff bands. Shoulder yokes, pocket welts, neckband, and cuffs were often decorated with chain-stitching (design and instructions are included inside pattern).

Our Black Forest Smock can be worn by men as an over-shirt, and by women as a mid-calf length dress or as a shirt. Use #110 Little Kittel in the Children's Collection to make it for the kids. 

Suggested Fabrics: Soft or crisp fabrics such as linen, homespun, broadcloth, gingham, denim, featherweight corduroy, or lightweight wool.

Yardage chart (.pdf)

This pattern is available as a Paper pattern and PDF pattern.  Choose the pattern format you want in the drop down menu.  The PDF pattern has files for copy shop (36” and A0), print at home (A4 and 8.5”x11”), as well as Sewing and embroidery instructions.

For tips on sizing this smock up, check out our blog post on the topic.

Also, we have a blog post about making this smock with knit fabric.

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SKU: 93501091266

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MrGee
Belleville, 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
San Leandro, 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
Port Orchard, 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
Dallas, 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
Los Angeles, 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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