SKU: 50329319786

Durvet Canine Spectra® 9

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Description

Durvet Canine Spectra® 99 way Protection. For subcutaneous vaccinations of healthy dogs 6 weeks of age or older as an aid in the prevention of disease caused by Canine Distemper, infectious Canine Hepatitis, Canine Adenovirus Type 2 (CAV 2), Canine Parainfluenza, Canine Parvovirus Type 2b, Leptospira Canicola, Leptospira Grippotyphosa, Leptospira Icterohaemorrhagiae, Leptospira Pomo BENEFITS Meets or exceeds USDA standards Contains Type 2B Parvorirus for rapid immunity and

9-way Protection. 
For subcutaneous vaccinations of healthy dogs 6 weeks of age or older as an aid in the prevention of disease caused by Canine Distemper, infectious Canine Hepatitis, Canine Adenovirus Type 2 (CAV-2), Canine Parainfluenza, Canine Parvovirus Type 2b, Leptospira Canicola, Leptospira Grippotyphosa, Leptospira Icterohaemorrhagiae, Leptospira Pomo

 

  • BENEFITS
  • Meets or exceeds USDA standards
  • Contains Type 2B Parvorirus for rapid immunity and cross protection against all recognized field strains
  • Parvo fraction is high titration, low passage - High vaccine titers help overcome low-level maternal antibody interference in puppies
  • Available in single dose with syringe or multi-packs of 25
  • Easy do-it-yourself vaccination yields huge savings, especially for multiple dog owners, breeders, and shelters
  • Economical
  • DIRECTIONS
  • PACKAGING
  • WARNING(S)







The dosage is 1 mL of injected subcutaneously. Open syringe by twisting or tapping the cap against a hard surface to break the heat weld. Prepare the vaccine by injecting the diluent into the vial containing the desiccated vaccine cake. Shake well. Withdraw entire contents into the syringe. Thoroughly prepare injection site with antiseptic. Lift the loose skin behind the neck or behind front leg and insert the needle. Inject entire contents of the syringe. Do not inject directly into the blood vessel.

IMPORTANT NOTE: Before injecting the vaccine, pull back slightly on the syringe plunger. If blood enters the syringe freely, choose another injection site. A recommended vaccination schedule should start at or about 6 weeks of age. The presence of maternal antibody is known to interfere with the development of active immunity. Puppies should be revaccinated every 2 to 3 weeks until at least 16 weeks of age. All dogs over 12 weeks of age should initially receive one dose of Spectra® 9 and a second dose 2 to 3 weeks later. Annual revaccination with a single dose is recommended.

Do-it-yourself at home vaccines - vaccinateyourpets.com

See label for complete directions and precautions.

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SKU: 50329319786

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4.7 ★★★★★
Based on 27 reviews
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Verified Purchase
Shannon
Boise, 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!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 30, 2025
W
Verified Purchase
William P Ross
Port Orchard, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 15, 2017
A
Verified Purchase
Adam
Lake Worth, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 22, 2026
A
Verified Purchase
Amazon Customer
Birmingham, 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!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 14, 2017
M
Verified Purchase
mackster
Charlottesville, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 15, 2018

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