SKU: 25831702351

Salvatore Blue Gold Premium Progressive Brush Kit 2x 1L / 2x 33.8 fl oz

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Description

Salvatore Blue Gold Premium Progressive Brush Kit 2x 1L / 2x 33.8 fl ozIts main asset, Tannin, is extracted from different trees and acts internally on the hair fiber. Its composition also brings a mix of treatment actives that add more nutrition and care to the hair, resulting in a more consistent formula. The same does not waterproof the wires and aligns from fine and wavy hair to the most frizzy and resistant curvature in up to 100%. Blue Gold Premium has a concentrated formula that provides greater performance for a

Its main asset, Tannin, is extracted from different trees and acts internally on the hair fiber. Its composition also brings a mix of treatment actives that add more nutrition and care to the hair, resulting in a more consistent formula. The same does not waterproof the wires and aligns from fine and wavy hair to the most frizzy and resistant curvature in up to 100%.

Blue Gold Premium has a concentrated formula that provides greater performance for a quick and effective application without fading the hair fiber. Its action uses the Taninoplasty technology that acts forming a protein network next to the intercellular cement of the cortex that, when activated by the temperature of the iron, provides the desired format and guarantees even smoother, natural and shiny hair!

Product benefits:
Practical application in less time
Higher income;
More concentrated formula and 2x more potent;
It only needs a washing process with shampoo in abundance;
Provides intense shine;
Does not cause hair fiber fading;
It contains substances that provide greater fixation of the assets, ensuring extended durability and quality in the treatment;
0% formaldehyde and derivatives;
Comfort in application, without burning eyes and airways;
Straightens hair up to 100% in a uniform and natural way;
Greater safety in the application on blond or bleached hair.

How to Use:
Allergy test - Before starting the process, perform an allergy test with Blue Gold Premium Professional (Step 2) on the forearm and the back of the neck. In case of irritation suspend use and seek medical advice. Note: Due to the antiseptic and astringent functions of the product, some people may feel a slight stinging sensation very similar to coloring.

With wet hair, evenly apply Blue Gold Premium Professional Shampoo (Step 1) to the scalp, massage gently. Distribute the product from the scalp to the ends without rubbing the fiber. Rinse with cold or lukewarm water, completely removing the product. Repeat the process, it is not necessary to leave a pause time. Pay attention to the correct application and cleaning in the frontal and neck regions.

Remove all excess water with a towel and with the help of a dryer dry 50% of the strands (leaving them still damp). Shake the Blue Gold Premium Professional bottle well (Step 2) and apply it strand by strand with the help of a brush, distribute from the root to the tips with a fine comb. Make sure all strands are evenly wet. Let it act for 30 minutes so that all the properties of the product are absorbed.

Tip: For better absorption in waterproof hair, every 10 minutes of the pause time, comb all the strands again with a fine-toothed comb. On extremely resistant hair, use a thermal cap during the 30 minutes or some other thermal insulation material such as a plastic protective film.

Rinse only with cold or lukewarm water, completely removing the product. The better the rinse is performed, the better the treatment result will be.

Tip: Apply Otimix Lavatório if you want to add a shading service to the treatment, let it act for an average of 10 minutes or according to the desired nuance and tones, rinse completely and proceed to brushing. Make a smooth brush achieving an intense shine.

Slowly flat iron in thin strands (1 cm) an average of 20 times according to the structure and resistance of the fiber, always flat ironing more the root and less the ends, thus avoiding dryness due to excess temperature. It is recommended to finalize with Salvatore Professional Gold Xpress Premium Pre and Post-chemistry. For treatment maintenance, indicate one of the Salvatore Daily Use lines.

Tip: For blonde hair, flat iron with a temperature of 180°C to a maximum of 200°C according to the resistance of the fiber to avoid dryness and loss of tone. At the end of the Gold Xpress Premium Professional application process, if any section does not have the expected result, dry it and flat iron it again without the need for a new application of Blue Gold Premium Professional (Step 2).

Contains:
-01 Step 1 1L
-01 Step 2 1L

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SKU: 25831702351

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4.7 ★★★★★
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Par
Natrona Heights, 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
Phoenix, 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
Pawtucket, 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
Lake Worth, 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
T
Verified Purchase
Tommy Jonsson
Los Angeles, 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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