SKU: 90437502851
foaming sprayer for garden hose

foaming sprayer for garden hose [Foam Cannon] (for Garden Hose)

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Description

foaming sprayer for garden hose [Foam Cannon] (for Garden Hose)Use Your Standard Garden Hose! Produces thick, sticky foam in a fan pattern that easily covers large swaths of the vehicle surface in each path. The easiest way to get car wash shampoo on the vehicle without having to have an expensive and noisy pressure washer Durable Construction: Crafted with high quality brass for core components, and a chemical resistant and durable thick sided HDPE bottle. Adjustable Dilution Ratio: Easy to turn knob at the top


Use Your Standard Garden Hose!  Produces thick, sticky foam in a fan pattern that easily covers large swaths of the vehicle surface in each path.  The easiest way to get car wash shampoo on the vehicle without having to have an expensive and noisy pressure washer

Durable Construction:  Crafted with high-quality brass for core components, and a chemical-resistant and durable thick-sided HDPE bottle.

Adjustable Dilution Ratio:  Easy-to-turn knob at the top of the cap allows 6 dilution ratios, which allows the user to dial in the desired thickness of shampoo.  Also allows adjustment of mixing ratio to match the cleaning chemical being used.  Mixing ratios include:


A.    128:1
B.    64:1
C.    32:1
D.    20:1
E.    10:1
F.    no chemical—for rinsing

Versatile Spray Pattern:  Quick-release nozzle converts from vertical to horizontal fan.
Convenient Trigger Features.  Easy to use and automatically shuts off upon release.

 “Lock On” tab is also available to keep the product flowing without having to hold in the trigger.  Adjustable maximum output if you need to control the flow of product.

Ready for Rinsing:  Simply dial the mixing ration knob to “0” (zero), and you can use the foam cannon to rinse down the vehicle.  No need to change out to another nozzle.
Quick-release Swivel Connector.  In case you DO want to switch out the foam cannon with another appliance.  (Fit the other appliance with a 3/8” plug, available separately.)

The quick-connect also swivels, allowing the bottle to dangle freely while moving around with the unit.

Wide Mouth Bottle:  Features a newly designed large plastic cap for smooth, easy attachment and removal.  The oversized bottleneck allows for easy filling of soap and water, minimizing spills.

Also offered with Pressure Washer connection.

INSTRUCTIONS:


1.    Foam cannon easily assembles using the included instructions.
2.    Fill the bottle with your favorite foaming car wash.
3.    Adjust the dilution ratio by turning the black dial on the top of the orange cap.  Make sure it “clicks” into place.  Match as closely as possible the recommended mixing ratio indicated on the bottle label of the chemical you are using.  Check the mixing ratio guide above.
4.    Cover the area (e.g., vehicle) with sweeping motions.  Increase sweeping pace for thinner coverage and decrease for thicker coverage.
5.    Flush out the unit with clean water before storing until the next use.


WARNINGS


1.    Do not spray toward electrical outlets or electrical devices.  (Current can travel up the spray pattern and shock the user.)
2.    Ensure the device sits upright when setting it down so that product in the foam bottle does not accidentally leak out.
3.    Do not spray any chemical at another person.
4.    Not recommended for household water pressure greater than 80 psi.


SPECIFICATIONS


•    Input:  3/4” male standard garden hose
•    Infinitely variable trigger with “lock on” tab and adjustable “max output” screw
•    3/8” swivel quick connector between gun handle and foam bottle
•    Large mouth 28.2 oz chemical bottle
•    Mixing ratios:  128:1, 64:1, 32:1, 20:1, 10:1, 0 (zero—water only)
•    Output:  Dual-position quick-change foam outlet (vertical or horizontal)
•    Operational psi range:  35-85 psi
•    Flow rate depends on incoming water supply being used


Mixing ratio control knob

 

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SKU: 90437502851

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Walter Echo-Hawk, author of THE SEA OF GRASS.
Boise, US
★★★★★ 5
Native American history at its best!
Format: Hardcover
Kent Blansett's engrossing story about the life & times of the famed Mohawk activist Richard Oakes is Native American history at its best. I appreciated the well-written context provided about the birth, growth and impact of the Red Power Movement and the pivotal role that social justice activism played in the rise of modern Indian nations in the United States today. This scholarly work helps us understand modern Native America and is a "must-read" for every Native American Studies student and scholar, as well as readers interested in important American social justice movements.
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Reviewed in the United States on April 1, 2019
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Verified Purchase
Par
Alexandria, 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.
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Reviewed in the United States on December 20, 2024
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Richard Hackathorn
Waukegan, 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.
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Reviewed in the United States on February 26, 2022
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Verified Purchase
Amazon Customer
Chelsea, 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
West Palm Beach, US
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
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Reviewed in the United States on May 3, 2026

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