SKU: 11345708662

Embroidered Forest TN Notebook Journal Fabric-covered Dairy Book Traveler's Notebook Cute Journal Dotted Notepad Grid Notebook Birthday Gift

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Description

Embroidered Forest TN Notebook Journal Fabric-covered Dairy Book Traveler's Notebook Cute Journal Dotted Notepad Grid Notebook Birthday GiftThis is handmade embroidery thread bound TN journal notebook with refilled inner cores. Five styles of inner pages are available, white blank, kraft blank, lined paper, grid paper and dotted page. It can be so much fun to create. You can use this TN notebook as a travel journal, portable notepad, daily notes or lists, sketches, and drawings, a place to write down your inspirations, time plan, or garden notes, bird count, or diary. These notebooks come

This is handmade embroidery thread-bound TN journal notebook with refilled inner cores. Five styles of inner pages are available, white blank, kraft blank, lined paper, grid paper and dotted page. It can be so much fun to create. You can use this TN notebook as a travel journal, portable notepad, daily notes or lists, sketches, and drawings, a place to write down your inspirations, time plan, or garden notes, bird count, or diary. These notebooks come blank making them great for drawing, sketching, and writing.

**SPECIFICATION**:

Embroidered Forest TN Notebook Journal Fabric-covered Dairy Book Traveler's Notebook Cute Handmade Journal Dotted Notepad Blank Grid Notebook Birthday Gift

Cover Outside Material: Fabric / Cloth cover

Binding Style: thread-bound inner core

Cover Size: two size available, standard size and portable size.

Standard style : Inner core size 21 cm x 11 cm ( 8.2" x 4.3") Book size: 22.2 cm x 12 cm (8.7" x 4.7")
Portable size: Inner core size 16.5 cm x 9.3 cm (6.4" x 3.6") Book size: 18 cm x 10.8 cm (7.0" x 4.2")

Inner pages: 100g/㎡ beige eye-protection paper, five styles of inner pages available, white blank, lined, Grid, Dot, and kraft blank page, the grid is 5 mm, the line height is 8 mm.

Inner Core: Each inner core has 32 sheets 64 pages, Each TN Notebook comes with 3 inner cores bound together, 96 sheets 192 pages in total. You can leave a message for the style of 3 inner cores you like. (white blank page, kraft blank page and lined page are default).

* Please note that the skin( outside cover) of both books can be taken off and the inserts book are replaceable. Inner Paper can not be painted with marker pen, you can draw simple watercolors and control the amount of water.

Free Gifts:

beautiful stickers (randomly sent)

**DESCRIPTION**:

This is an exquisite fabric/cloth cover junk journal book, with high-quality material, free to DIY, simple, literary, and original.

The inside sheets are made of high-quality material, 100g beige eye-protection paper, you can use them for writing, drawing, or adding scrapbooking on the sheet.

This book can be used to record every beautiful moment of life: wedding gifts, love dairy, travel diary, baby growth diary, family commemoration, photography collection book, stamp/postcard/newspaper collection book, planner, menu, journal, Sketchbook, graffiti book, and so on ......

It will be a lovely surprise for your family, beloved ones, and friends.

**HOW TO PLACE AN ORDER? **

1. Choose cover size: 2 different styles
2. Choose the style of inner pages, White blank, Kraft blank, Gird page, Lined page, Dotted page, Mixed-3 styles.
3. Leave a message for the 3 styles of mixed inner pages you need (white blank, kraft blank and lined pages are default)
4. Please leave a message with a phone number so that we can process the shipment asap.

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**MORE OPTIONS IN THE STORE**

Scrapbooking and Gift Supplies:

Photo Corner Stickers
https://www.etsy.com/shop/HeilsaDiySupply?section_id=25955512

Stickers
https://www.etsy.com/shop/HeilsaDiySupply?§ion_id=35166692

Gift Boxes:
https://www.etsy.com/shop/HeilsaDiySupply?section_id=26457617

Photo Corer Stickers:
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Wood Stamps:
https://www.etsy.com/shop/HeilsaDiySupply?section_id=26273195

Ink Pads:
https://www.etsy.com/shop/HeilsaDiySupply?section_id=26376870

Photo Prints:
https://www.etsy.com/shop/HeilsaDiySupply?section_id=25093380

For Scrapbooks and Photo Albums:

Scrapbook Album:
https://www.etsy.com/shop/HeilsaDiySupply?section_id=24198522

Photo Album with sleeves:
https://www.etsy.com/shop/HeilsaDiySupply?section_id=26108912

Photo Album Leather:
https://www.etsy.com/shop/HeilsaDiySupply?section_id=26705167

Journal and Notebooks:
https://www.etsy.com/shop/HeilsaDiySupply?section_id=26129851

**SHIPPING & RETURN:**

—Usually, orders will be processed within 2-4 business days, some customized orders may take longer as 5-7 business days.
—Approximate delivery time is:
Standard shipping: usually about 10 – 20 days via e-packet to the United States, Canada, Russia, and 10-30 days to other Asia, Europe countries, Australia, Newzealand (Some distant countries like Brazil, Africa countries may take as long as 30-60 days.)
Upgrade shipping (DHL, UPS, or FedEx): about 5-10 business days
—If you have other requirements for shipping, Free to contact us.
—Delivery time may vary increase in times of national holidays, Christmas

NOTE :

— Customers will be responsible for the customs cost if there is any.
— If you received a defective product, you can return it during a 7-day period after receiving it. If you wish to replace a defective product or to receive a refund, you need to send us a photo of a defective product and describe the reason for returning it. After we examine your problem and confirm that your product is defective, we will perform a replacement or a refund.
—Heilsa is our brand name, we have our own DIY workshop, we accept custom orders, if any related inquiries, free to contact us at [email protected]

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
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  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
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SKU: 11345708662

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4.2 ★★★★★
Based on 18 reviews
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Product Reviews
A
Verified Purchase
Amazon Customer
Los Angeles, US
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 10, 2025
K
Verified Purchase
Kindle Customer
Massapequa, US
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 3, 2026
T
Verified Purchase
Tommy Jonsson
Pawtucket, US
★★★★★ 5
Cover many areas in detail and recommendations for more to read for what's outside
Format: Paperback
Good book!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 4, 2026
M
Verified Purchase
Moses Kayanda
San Leandro, US
★★★★★ 5
One of the best machine learning books...
Format: Paperback, Format: Paperback
Machine Learning can often be intimidating whether you are starting out or already a practitioner. It is easy to get stuck on one concept, walk away frustrated, or just copy that code you find on StackOverflow without really understanding what it does. What the authors of this book, Machine Learning with PyTorch and Scikit-Learn, have managed to do is to keep the reader engaged giving a deeper illustration as to how the concepts work. In this book, you get practical code examples, a detailed explanation of how the various library tools work, and exposure to the mathematical concepts behind machine learning algorithms. In addition, what I like about the book unlike many machine learning books is that the authors have managed to intuitively explain how each algorithm works, how to use them, and the mistake you need to avoid. I have not read a Machine Learning book that better explains Transformers as this one does. The authors have managed to give a detailed dive into this model architecture through well-explained codes and illustrations. As a reader, you walk away having intuitively grasped the concepts of attention and self-attention in ways that will make this crucial NLP architecture clear. You get exposed to pre-trained models from HuggingFace library which really helps to have that hands-on experience working with large datasets. As they have done throughout the book, the authors have broken down those complex mathematical operations into simple explanations that are easy to follow. What I generally like about the book is how it seamlessly connects all the chapters, not throwing off the reader. There are numerous external resources quoted throughout the book. This helps spark that curiosity to dig deeper. In addition, you get introduced to PyTorch, getting exposed to all those sophisticated libraries that help the reader learn how to maximize their compute power. I would say it is not intimidating at all even if you have not used PyTorch before. I would recommend this book to anybody seeking a textbook that is both easy to read and modern in its content. If were to rate the book I will give it a 10/10 as it really applies to both beginners and experienced practitioners, covers all the concepts one needs to apply in their operations, and acts as a quick reference.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 1, 2022
G
Verified Purchase
Gabe Rigall
Phoenix, US
★★★★★ 5
Thorough Primer for Machine Learning and PyTorch
Format: Paperback
BLUF: A thorough primer for machine learning enthusiasts with plenty of theory to underscore its many practical examples. A definite must-have for anyone looking to add PyTorch to their machine learning tool belt. PROS: - Extremely thorough (if not comprehensive). I really appreciate that this book doesn't just thrust one into building models with PyTorch. It starts at the "beginning" and provides examples, theory, additional resources, and citations along the way. - Theory. Those whose calculus and linear algebra courses ended many years ago will appreciate (if not remember exactly) the mathematical theory and notation that accompanies almost every paragraph. This book gives one the opportunity to "dig deeper" or stay in the shallows until the notation stops. - Python. Rather than simply utilizing Scikit-Learn to illustrate concepts and introduce models, this book contains many sections where models (such as a Perceptron) are coded from the ground up so the reader can fully understand the underlying mechanics. Python enthusiasts will nerd out. Parents of small children might want to skip a few pages. - Graphs, charts, and graphics. There are plenty of places where a drier text might have foregone the use of graphs. This text does not. It does however refrain from overusing them. - PyTorch. This should be obvious from the title, but this text prioritizes PyTorch instead of TensorFlow. This is especially helpful for those looking for an alternative to Keras and TensorFlow as the PyTorch API is very user-friendly. CONS: - Almost too much code. This isn't a true "con" but anyone wanting to emulate or follow along with the examples would do well to get the digital edition so they can copy and paste. - Length and complexity. Anyone hoping for a "quick read" or a "quick start guide" will be disappointed. This book hovers somewhere between an undergraduate primer and a graduate-level text for length and readability. This is not to say that it's difficult to read, merely that there are other "quick start" / "practical" texts out there that cater more to a lay audience.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 26, 2022

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