SKU: 6851757886

Amandir Rose Gold Birthday Party Decorations for Women Girls, Rose Gold Pink Confetti Foil Balloons, Butterfly, Fringe Curtain, Happy Birthday Banner, Cake Topper for30th 40th 50th 60th Supplies Decor

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Description

Amandir Rose Gold Birthday Party Decorations for Women Girls, Rose Gold Pink Confetti Foil Balloons, Butterfly, Fringe Curtain, Happy Birthday Banner, Cake Topper for30th 40th 50th 60th Supplies DecorColor: Rose Gold Features: Rose Gold Party Decorations: 2 pcs rose gold fringe curtains(39*79in), 2 pcs foil champagne balloons, 1 pcs foil crown balloon, 16 in happy birthday foil balloon, 6 pcs confetti balloons(rose gold gold), 2 pcs 10 in rose gold heart foil balloons, 42 pcs 10 in balloons(metallic rose gold metallic gold rose gold pink white), 10 pcs pink paper tassels, 12 pcs butterfly stickers(rose gold colorful silver), 1 pcs cake topper and

Color: Rose Gold

Features:

  • Rose Gold Party Decorations: 2 pcs rose gold fringe curtains(39*79in), 2 pcs foil champagne balloons, 1 pcs foil crown balloon, 16 in “happy birthday” foil balloon, 6 pcs confetti balloons(rose gold/gold), 2 pcs 10 in rose gold heart foil balloons, 42 pcs 10 in balloons(metallic rose gold/metallic gold/rose gold/pink/white), 10 pcs pink paper tassels, 12 pcs butterfly stickers(rose gold/colorful silver), 1 pcs cake topper and 4 pcs balloon tools
  • Premium Quality: The rose gold balloons are made of decent latex and foil; Every balloon have been rigorously tested and selected manually; Butterfly stickers, cake topper and tassels are also made of premium paper materials; No matter at what age, create a dreamy and unforgettable birthday decorations for her; The amazing rose gold birthday decorations will get lots of compliments from your friends and families
  • Suitable for Many Occasions: The girl birthday decorations can be used repeatedly in many occasions; Suitable for rose gold style theme birthday party, baby shower birthday party for girls, 30th 40th 50th 60th birthday party for women, bridal shower, wedding, graduation party decorations, Mother's Day etc; Butterfly birthday decorations add romantic and festive atmosphere
  • Make Your Party Unforgettable: Our rose gold birthday decorations for women include latex balloons, foil balloons, fringe curtains and butterfly stickers; They can help you enrich your birthday party decorations for girls; You will get a shiny backdrop for your photos and create a memorable memory for you and your friends
  • Choking Hazard: Children under 8 yrs；can choke or suffocate on uninflated or broken balloons；Adult supervision required；Keep uninflated balloons from children；Discard broken balloons at once

Details: Choking Hazard: Children under 8 yrs；can choke or suffocate on uninflated or broken balloons；Adult supervision required；Keep uninflated balloons from children；Discard broken balloons at once
Amandir Rose Gold Birthday Party Decorations for Women, Confetti Foil Rose Gold Balloons Rose Gold Fringe Curtain Happy Birthday Banner 30th 40th 50th 60th Birthday Supplies for Girl

Specifications
* Materials: Latex, paper, plastic
* Balloons Size: 12''/10''
* Silver Ribbon Length: 5m*2
* Fringe Curtains Size: 79*39in(L*W)
* Applications: Rose gold style theme birthday party, baby shower birthday party for girls, 30th 40th 50th 60th birthday party for women, bridal shower, wedding, Valentines Day decorations etc.

Features
- The rose gold balloons are made of decent latex.
- Rose gold birthday party decorations add romantic and festive atmosphere.

Note
* Please allow 1-2'' errors due to manual measurement.
* Colors may vary from different monitors and screens.
* Latex balloons only can float 3-4h, especially the confetti balloons with confetti, the float time is more short(about 1-2h).
* For confetti balloons, after inflated, please rub gently with towel, wool, carpet, cloth to get static so that the confetti stick to the wall.

Package Include
48 x Latex balloons
18 x Foil balloons(champagne/crown/“happy birthday”/heart) 10 x Paper tassels
12 x Butterfly stickers
2 x fringe curtains
1 x Cake topper
4 x Balloon tools(balloon arch strip/glue points/tying tool/ribbon)

Package Dimensions: 8.6 x 5.8 x 2.0 inches

Part Number: PT-135-1

model number: PT-135-1

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • 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: 6851757886

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4.2 ★★★★★
Based on 12 reviews
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Product Reviews
P
Verified Purchase
Par
Phoenix, US
★★★★★ 5
Excellent book on ML
Format: Paperback
This is a great book on machine learning. Topics covered are extensive - from beginner level to advanced topics including math behind different algorithms. However, not "all" algorithms are covered. Please go through the table of contents. The first part - 11 chapters - covers machine learning concepts and second part covers advanced topics with Pytorch. There are lots of excellent code and they work!! The quality of the book I received is excellent. I have gone through all 742 pages, and it has held up very well!! I used Jupyter notebook to run all examples. I created a new notebook and copied and pasted the code and ran them. This approach worked very well for me. At the same time, I could experiment with my take on the code snippets and definitely added to my knowledge. Only issue I have is on the second part of the book discussing PyTorch: (1) Some packages are a bit older version: e.g., transformer 4.9.1 whereas current version is 4.48+. It took some tweaking/recoding to get the examples working. (2) There is not much discussion on why certain architecture was chosen - e.g., number of layers, is there a rule of thumb on how to improve performance by changing these parameters? Even with CUDA the code run for a long time. Therefore, experimenting with different values of parameters become too time consuming. (3) On the same note, if I can achieve test accuracy of 90%+ using logistic regression and almost the same (perhaps one or two percent better with PyTorch with IMDB movie review dataset and that two much faster why should I use PyTorch for this dataset? Obviously, PyTorch is for certain types of problems. Discussions can be included by not adding to the exhaustive (and apt) contents. Personally I was disappointed by lack of any example on time series. Must have for ML practitioner as a reference and guide.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 20, 2024
R
Verified Purchase
Richard Hackathorn
Birmingham, US
★★★★★ 5
Excellent Textbook for Hands-On Learning of ML
Format: Kindle
This textbook is for the serious life-long learners of machine learning. There are at least two ways to ‘consume’ this book. For the expert in ML, this is a textbook to study as a clear comprehensive ML overview and then to dive into sections of interest or ignorance. The concepts are grounded in code examples and are well cited (with links) to sources. Further, this textbook is appropriate if you are TensorFlow-centric and want to broaden into cutting-edge ML models/tools coded in PyTorch. For a new learner to ML, this is a textbook to DO (not just READ) with hands-on and brain-engaged. If you realize that ML is a key life-long skill for your career, consider this textbook as part of a daily learning habit (10-30 min). From personal experience, my advice to the new learner is as follows… First, clone the GitHub repository, setup your Python environment, and study the textbook, while working through the notebooks. Go on tangents and break the code. Do this methodically as part of your daily learning habit, but do not hesitate to jump ahead several chapters to prepare for tomorrow’s meeting. There is enough excellent material here for a full year of ML adventures. I did a similar strategy with Raschka’s first textbook. About four years ago, I had finished Andrew Ng’s Deep Learning Specialization as a student in his first cohort. I knew the concepts well but could not do the actual application coding. I was surprised how my Python coding improved by following Raschka’s clean and elegant style. And Raschka’s code examples were meaty enough to be springboards into working applications. Several textbook editions later, what is different about this new edition? First, it moves you through scikit-Learn (a firm foundation) to PyTorch, instead of TensorFlow. PyTorch is a better stepping-stone, both conceptually and practically. With PyTorch, you will go further with less energy, while being able to convert your efforts into TensorFlow as needed. In addition, most of the cutting-edge ML/AI/DL research is in PyTorch. It is nice to read a recent arXiv paper, clone their repository, click on the Colab tutorial, and replicate their experiments, along with picking up a ton of new coding tricks & tips. I am excited to work through these PyTorch sections to hone my skills. Second, there is a clear recognition of model tracking and tuning practices. This is often a gap in other ML textbooks and courses. Once you progress beyond the simple demo examples in a lecture, you realize that the real work is experiments, more experiments, and still more experiments, so that you must understand what the model architecture and hyperparameters are doing to your dataset. There is good coverage of scikit-Learn pipeline, grid search, model performance, and the like. Third, ML/AI/DL practice is rapidly evolving. Every week new ML packages/services become available that could save much grief on your current project. What is refreshing about Raschka’s textbook series is that he constantly adding cutting-edge topics because he likes to stay current and to help us stay current. Hence, this edition contains recent ML treats as: transformers, self-supervised learning, autoencoders-to-GAN, graph neural networks, DBSCAN, t-SNE (with brief mention of UMAP), and PyTorch-Lightning.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 26, 2022
A
Verified Purchase
Amazon Customer
Phoenix, 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
Grantham, 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
Lexington, 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

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