SKU: 31343874950

Advocate For Extra Large Dogs Fleas, Heartworm & Worm (Blue)

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Description

Advocate For Extra Large Dogs Fleas, Heartworm & Worm (Blue)Provide your large or giant breed dog with the ultimate "all in one" protection with Advocate Blue Pack. This advanced, monthly topical spot on is specifically formulated for dogs weighing over 25kg, offering broad spectrum defense against fleas, heartworm, intestinal worms, and various mites. Advocate is designed for rapid action, stopping re infesting fleas from biting in as little as 3 to 5 minutes. By killing fleas on contact, it prevents painful

Provide your large or giant breed dog with the ultimate "all-in-one" protection with Advocate Blue Pack. This advanced, monthly topical spot-on is specifically formulated for dogs weighing over 25kg, offering broad-spectrum defense against fleas, heartworm, intestinal worms, and various mites.

Advocate is designed for rapid action, stopping re-infesting fleas from biting in as little as 3 to 5 minutes. By killing fleas on contact, it prevents painful bites and significantly reduces the incidence of Flea Allergy Dermatitis (FAD).

Why Advocate Blue Pack is the Essential Choice for Extra Large Dogs:

  • Rapid Flea Elimination: Kills adult fleas quickly and eliminates larval stages in the dog's surroundings to break the infestation life cycle.

  • Heartworm Prevention: A single monthly dose provides effective prevention against deadly heartworm disease.

  • Intestinal Worm Control: Effectively treats and controls major gastrointestinal parasites, including roundworms, hookworms, and whipworms.

  • Comprehensive Mite & Lice Treatment: Provides efficient treatment for sarcoptic mange, Demodex mites, ear mites, and chewing lice.

  • Fast-Acting Relief: Stops fleas from biting almost immediately (3–5 minutes), which is vital for large dogs with flea-sensitive skin.

  • Puppy Safe: Can be safely administered to puppies from 7 weeks of age.

Product Specifications

  • Pack Colour: Blue

  • Weight Range: Over 25kg

  • Application Type: Topical Spot-on

  • Dosage: 1 Pipette monthly

How It Works:

Advocate utilizes a powerful combination of Imidacloprid and Moxidectin. These active ingredients disrupt the parasite's central nervous system, leading to paralysis and death. Because Advocate kills on contact, fleas do not need to bite your dog for the treatment to be effective.

Directions for Use

  1. Preparation: Remove the pipette from the package, hold it upright, and pull off the cap.

  2. Positioning: Have your dog stand in a comfortable position. For extra large dogs, the application should be spread across 3–4 spots starting from the base of the skull and moving down the backbone.

  3. Application: Part the fur until the skin is visible. Place the tip of the open pipette on the bare skin and squeeze to pour out the entire contents.

  4. Drying: Allow the site to dry completely. Ensure children and other pets do not groom or play with the treated dog until the area is dry.

Safety & Precautions

  • Heartworm Testing: Always have your pet tested for existing heartworm infections by a vet before beginning the treatment.

  • Age Limit: Do not apply to puppies younger than 7 weeks old.

  • Consult Your Vet: Seek professional advice before use on pets that are sick, weak, pregnant, or lactating.

  • Personal Safety: Wear gloves during application and wash hands thoroughly afterward. Keep the product away from the pet’s eyes and mouth.

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SKU: 31343874950

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4.2 ★★★★★
Based on 7 reviews
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Shannon
Belleville, US
★★★★★ 5
The best DL/ML book I have ever seen!!
Format: Hardcover
Fantastic deep-learning book! The logic is very easy to follow, but the content is very thorough when it comes to explaining the theories behind it, making it perfect for beginners as well as math and CS students. The best DL/ML book I have ever seen!!
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Reviewed in the United States on November 30, 2025
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Verified Purchase
William P Ross
Lexington, US
★★★★★ 5
Comprehensive Look At An Incredibly Complex Topic
Format: Hardcover
Deep Learning is an advanced book with great explanations and details. There is a heavy math focus with the book's beginning chapters detailing the necessary linear algebra and probability that one will need to understand deep learning. I liked that the author's chose to cover only the parts of these subjects which are relevant to deep learning. There are many interesting philosophical sections in the book as well. Just about when I was feeling overwhelmed with the complexity of the mathematics the authors take a step back and cover the foundations of deep learning such as borrowing concepts from human learning. There was an interesting dicussion about the early studies done on the vision of cat's and monkey's in the 1970s. The text covers the entire history of deep learning and the bibliography is hundreds of sources. It is clear this is the most comprehensive text available about deep learning. For anybody interested in this topic this book is a mandatory read. There are sections about machine learning as well, which makes sense because deep learning is a subset of machine learning. These sections focused on the machine learning concepts which are most relevant to deep learning. The book was well organized and divided into three parts which cover mathematics related to deep learning, typical deep learning techniques, and then more experiment learning techniques. Often the author's state when a technique works well or when it does not, and which types of data works best for the technique. Just a warning, the math in this book is highly complex. It requires a lot of work to go through this book, but the effort will be well rewarded.
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Reviewed in the United States on March 15, 2017
A
Verified Purchase
Adam
Natrona Heights, US
★★★★★ 4
Too Dry.
Format: Hardcover
This was a required textbook for my class in college. I think it was too dry. The book titled Deep Learning: From Curiosity To Mastery is much more approachable.
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Reviewed in the United States on May 22, 2026
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Verified Purchase
Amazon Customer
Dallas, US
★★★★★ 5
Comprehensive! The Bible of Deep Learning!
This book has by far surpassed my expectations! I have purchased many machine learning and deep neural network books in the past, but nothing has ever come close to this book! First of all, it is written by the fathers of Deep Learning, and is therefore an authority. Secondly, the book is broken into three parts: 1. A math overview and refresher. 2. Deep Learning applications and 3. Research in Deep Learning. I can't help but go through this book from front to back. It is a smooth read, and every sentence written is meaningful. These guys know their stuff! And after you read this book, YOU WILL ALSO know your stuff! If you feel daunted by the price, just remember, you get what you pay for! I'd say they could easily charge about $300+ for this book, but they are doing everyone a very kind favor by ONLY charging this reasonable amount. You get A LOT of bang for your buck with this purchase. I hesitated at first about buying this book because of the price, but I am soooooo happy that I did! Worth every penny! Look no further, get this book and start your Deep Learning journey!!
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Reviewed in the United States on July 14, 2017
M
Verified Purchase
mackster
Grantham, US
★★★★★ 1
A rushed, poorly written guide of how the "experts" can't really explain what Deep Learning is
Format: Hardcover
This book, in every sense of the word, is rushed. I think the authors wanted to establish themselves as leaders of this young-ish field, but does so by sacrificing quality. It also shows that Deep Learning theory has been there for a long time, known by another name called Neural Networks. The interesting algorithms are of MLP, Back Propagation and the classical neural networks. The optimization methods such as Adam are the ones that are new and interesting, and the only ones worthy of in this book. So, essentially, what you get from this book is use A for X, B for Y and C for Z type of dry, un-intuitive, badly written waste of paper. As for the structure of the book, it's like an example of how not to structure a book. It has some linear algebra, probability at the start (not good enough, and confuses more people and wastes paper). Goes on to prove other algorithms such as PCA (yeah, ok!). Then, talks about how this architecture works for this and that architecture. So, yeah, if you really want to try out deep learning, don't buy this book. Set up Tensorflow/pytorch/ other library, run the tutorials, find an architecture for the problem you are interested in and start tweaking that. You will have far more fun and would have saved your money. The praise that this book gets is beyond me. Did Musk even read this book? I doubt it.
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Reviewed in the United States on May 15, 2018

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