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Tiki Pets Cat Luau Emma Variety Pack 2.8Oz (Case Of 12)Feed your cat like a queen with the Tiki Cat Queen Emma Luau Variety Pack Grain Free Canned Cat Food. Inspired by the flavors of a luau, each gourmet recipe is loaded with high quality protein to keep your pal looking and feeling her best. So grab the catnip grass skirt and dance to the dinner bowlyour tiny carnivore will love the shredded meats in juicy consomm in every can. And not only are they delicious and full of complete and balanced nutrition,
Feed your cat like a queen with the Tiki Cat Queen Emma Luau Variety Pack Grain-Free Canned Cat Food. Inspired by the flavors of a luau, each gourmet recipe is loaded with high-quality protein to keep your pal looking and feeling her best. So grab the catnip grass skirt and dance to the dinner bowl�your tiny carnivore will love the shredded meats in juicy consomm� in every can. And not only are they delicious and full of complete and balanced nutrition, but the easy-to-serve cans are an excellent way to supply your cat with necessary hydration to keep him thriving. Plus, he�ll love the variety of tasty ingredients, like wild salmon, lean chicken, seabass and tilapia! -Convenient, easy-to-open cans feature gourmet recipes that are high in protein and low in carbs. -Contains taurine which helps support heart health and added vitamins and minerals for a complete and balanced diet. -Recipe contains no grains, wheat, corn, soy, GMO ingredients, MSG, carrageenan, or anything artificial so it�s great for cat with allergies. -Variety of delicious flavors help to entice picky eaters with real, shredded, deboned meat in a luscious consomme. -Helps cats stay properly hydrated, and can be served as a standalone diet or as a topper for dry food. Includes: -Tilapia -Napili Luau Wild Salmon & Chicken -Hanalei Luau Wild Salmon -Koolina Luau Chicken & Egg -Succulent Chicken -Papeekeo Luau Ahi Tuna & Mackerel Feeding Guidelines: Feed your Adult Tiki Cat 2-3 can per 7 lbs of body weight per day. Feed up to twice the amount for kittens. Pregnant or nursing cats may require 2 - 4 times the amount. Feed at room temperature and refrigerate unused portion. Transition Guidelines: The best way to transition to a new food is to switch gradually over the course of 7-10 days. For example, make a mixture that contains 25% of the new food and 75% of the old food and feed that for three days. Then make it 50-50 for three more days, then 75% new food and 25% old food for three more days. If your cat seems comfortable with this progression, you can start feeding 100% new food. If at any time your pet starts vomiting, has loose stools, or appears constipated, slow the rate at which you are switching the food. If problems continue to occur, consult your veterinarian.GRP:PET
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4.1 ★★★★★
Based on 16 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 5
The classic textbook on Deep Learning
Format: Hardcover
Deep Learning is the promising direction towards general purpose effective artificial intelligence.
There is an explosion of fruitful research in recent years and a lot of applications pursued mainly from technology giants as Google, Amazon, etc. and outstanding research institutions.
The book "Deep Learning " by Ian Goodfellow, Yoshua Bengio, Aaron Gourville, is an excellent piece of work.
They manage to present rather difficult things in an understandable manner. The theoretical presentation is outstanding typical of "classic" books. Also, the book stays close to the practical applicability of all the methods and discusses applications extensively.
There are a lot of other useful books on deep learning that follow a more practical approach by focusing on a particular deep learning software package, but this one book is certainly much more essential since it provides the required theoretical background in order to be able to do serious work on deep learning.
I consider the book as "must have" for anyone that works on deep learning either in an academic or in an industrial environment.
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Reviewed in the United States on August 25, 2018
★★★★★ 5
100% Recommend
Format: Paperback
Invincible Compendium One completely lived up to the hype. From the very first chapter, I was hooked by the story, the action, and the character development. What starts off feeling like a classic superhero story quickly becomes something much deeper, darker, and way more emotional than expected.
The artwork is incredible and the fight scenes are intense without feeling repetitive. Every character feels important and layered, especially Mark and Omni-Man. The pacing is excellent for such a massive collection, and it’s hard to put down once you start reading.
If you’re a fan of superhero comics but want something with real stakes, shocking twists, and strong storytelling, this is absolutely worth reading. Easily one of the best graphic novels I’ve picked up in a long time.
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Reviewed in the United States on May 23, 2026