SKU: 24633441512

CARNIS - Geperst Zalm Small

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Description

CARNIS - Geperst Zalm SmallZalm Onze hoogwaardige, geperste hondenvoeding op basis van zalm, bevat maar liefst 26% zalm. Dit hoge percentage maakt de voeding extra smakelijk en aantrekkelijk voor jouw hond en is daarmee bij uitstek geschikt voor de gevoelige huid en vacht. De van nature aanwezige omega 3 en 6 dragen daarnaast bij aan een optimale vertering en hebben een gunstige invloed op hart en bloedvaten. Kies uit de varianten Small, voor kleine hondenrassen puppy's en

Zalm

Onze hoogwaardige, geperste hondenvoeding op basis van zalm, bevat maar liefst 26% zalm. Dit hoge percentage maakt de voeding extra smakelijk en aantrekkelijk voor jouw hond en is daarmee bij uitstek geschikt voor de gevoelige huid en vacht. De van nature aanwezige omega 3 en 6 dragen daarnaast bij aan een optimale vertering en hebben een gunstige invloed op hart en bloedvaten.

Kies uit de varianten Small, voor kleine hondenrassen puppy's en Regular, voor middelgrote en grote hondenrassen.

Natuurlijke voeding voor elke hond

Elk brokje bevat alle benodigde vitamines en mineralen en enkel natuurlijke ingrediënten. Dit maakt de voeding geschikt voor honden van alle leeftijden en rassen. Zo kan Berner Sennen pup Beau er gezond groot mee worden en geeft het Chihuahua Pip de juiste ondersteuning om optimaal van haar oude dag genieten. De voeding bevat geen kunstmatige geur-, kleur- en smaakstoffen en is ontwikkeld op basis van een tarweglutenvrije receptuur.

Samenstelling:

26% zalmmeel, ontsloten rijstmeel, ontsloten mais, ontsloten sorghum, ontsloten haver, rundvet, bietenpulp, vitamine- en mineralen mix, gefractioneerd vetpoeder, kippenmeel, 0,5% zonnebloemolie, 0,05% chondroïtine, 0,05% glucosamine

Analytische bestanddelen:

Ruw eiwit

23%

Ruw vet

12%

Ruwe as

6%

Ruwe celstof

4%

Vocht

10%

Calcium

1,02%

Fosfor

0,82%

 

Toevoegingsmiddelen /kg:

Nutritionele toevoegingsmiddelen:

 

3b108 - Ijzer

50 mg

3b201 - Jood

1.5 mg

3b405 - Koper

7 mg

3b502 - Mangaan

35 mg

3b801 - Selenium

0.45 mg

3b607- Zink

100 mg

Vitamine A

15000 IE

Vitamine D3

1500 IE

Vitamine E

250 mg

Biotine

1500 µg

 

Voedingsadvies:

Based on the FEDIAF guidelines for normal / healthy weight dogs

Adult:

Nutritional advice in grams per day, depending on the activity of the dog       

Adult weight

 

Low activity

Moderate activity

High activity

3 kg

60

75

105

4 kg

75

90

130

5 kg

85

110

150

10 kg

150

185

255

15 kg

200

250

345

20 kg

250

310

430

30 kg

340

420

585

40 kg

425

520

725

50 kg

500

615

855

60 kg

575

705

980

 

Puppies :

Nutritional advice in grams per day, depending on the age of the pup

  Current weight

  2 - 3 months

  4 – 6 months

  6 – 9 months

  9 – 12 months

0,5 kg

40

30

 

 

1 kg

70

55

 

 

2 kg

115

95

80

 

3 kg

160

130

110

85

4 kg

195

165

135

110

5 kg

230

195

160

130

6 kg

265

225

185

150

7 kg

300

250

210

165

8 kg

330

280

230

185

9 kg

365

305

255

200

10 kg

395

330

275

220

15 kg

535

445

370

295

20 kg

 

555

460

370

25 kg

 

660

545

440

30 kg

 

 

630

500

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CL
Cuba, US
★★★★★ 5
Loved it
Format: Paperback
I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
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Reviewed in the United States on November 14, 2025
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Amazon Customer
Bozeman, US
★★★★★ 5
A Good Place to Start Learning AI
Format: Paperback
Diving into the world of artificial intelligence can feel like stepping into a vast, uncharted ocean, and if you're looking for a reliable vessel to navigate these waters, this book is an excellent choice. However, I must be candid—this journey is not for the faint-hearted or those hoping to breeze through. The subject of AI, with its complex algorithms and intricate theories, is notoriously challenging. You won't find yourself flipping pages at a rapid pace, as this is not a title designed for speed-reading. Instead, it demands your full attention and a willingness to engage deeply with the material. At the heart of AI lies mathematics—a fundamental pillar that underpins the entire discipline. This book, while comprehensive, offers only a glimpse into the mathematical framework that drives artificial intelligence. But don’t be disheartened by this. Think of it as a solid foundation, a primer that will arm you with the essential concepts needed before you delve deeper into the more advanced mathematical intricacies elsewhere. When you do eventually tackle those more complex equations, you'll find yourself better equipped, with a clearer understanding of the principles at play. I should also mention that I'm no stranger to Andrew's work. Having explored some of his other writings, I can confidently say that he possesses a unique flair for communication. His ability to distill complex ideas into accessible language, without losing the essence of the subject, is truly commendable. Andrew writes with a certain finesse and sophistication that makes even the most daunting topics seem approachable. His style is not just informative, but also engaging, with a touch of elegance that sets his work apart from others in the field. In summary, while the path to mastering AI is undeniably steep, this book serves as an invaluable guide. It’s not just a starting point; it’s a beacon for those who are serious about understanding the intricacies of artificial intelligence. Be prepared to invest time and effort, and in return, you'll gain a solid foothold in a subject that is as fascinating as it is complex.
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Reviewed in the United States on September 2, 2024
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MrGee
Chelsea, US
★★★★★ 5
An enjoyable, and seriously excellent, path to understanding Deep Learning...
Format: Paperback
Deep Learning is changing our world. If you want to understand more, this is a great place to start. Andrew Glassner is a talented explainer - I took his short course on Deep Learning and learned so much, but also came away impressed at how well he can make complex material so clear and engaging. And this book is jammed packed with insights, visuals, and clear explanations. The author has a playful, sometimes quirky style that shines through, which gives this tour a lot of personality as well as information. Very enjoyable reading - I felt like he captured all that was good about his course (and then some) and bottled it up in this book. There is a lot more material here than in that course, and it is well laid-out and organized so that it is easy to roam around and come back to review the pieces that matter to you. Even if you plan to go to on to be a world-class Deep Learning engineer or mathematician, you have to start by understanding the concepts. And this book does a great job of presenting all the core ideas in a way that makes them clear and memorable.
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Reviewed in the United States on August 5, 2021
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R. Cote
Charlottesville, US
★★★★★ 5
Before GPT can chat, it has to learn.
Format: Paperback
One of the most comprehensive guides to AI and deep learning available. All concepts covered clearly and concisely with illustrations. Complex concepts are broken down into understandable terms. Even though ML and AI require some complex math, you won’t need it to get idea of what’s going on inside the computer’s “brain”. I use this as a reference when teaching AI concepts and preparing presentations. I highly recommend it
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Reviewed in the United States on April 5, 2025
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Rafael Azevedo Souza Costa
Carnegie, US
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
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Reviewed in the United States on May 19, 2025

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