SKU: 16976971164
buy mini succulents

buy mini succulents Assorted Cactus

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Description

buy mini succulents Assorted CactusThese very cool assorted cactus are in plastic round 2. 5" containers, all labeled with their names, ready for your collection or to give as a gift!. A little sun on a window sill, or in a planter on the patio or in the ground in the yard, these little cacti are fun and you cant beat the price! Each collection is randomly selected from our stock of over 60 different types of cactus. Be amazed as these cactus bloom gorgeous flowers at different times

  • These very cool assorted cactus are in plastic round 2.5" containers, all labeled with their names, ready for your collection or to give as a gift!. A little sun on a window sill, or in a planter on the patio or in the ground in the yard, these little cacti are fun and you can’t beat the price! Each collection is randomly selected from our stock of over 60 different types of cactus. Be amazed as these cactus bloom gorgeous flowers at different times of the year. Remember, always wear gloves when handling cactus!  Based on stock available, you may get some multiples.

     *****Wear gloves when handling, or handle carefully as they have spines!****

  • ***Soil can get displaced during shipping, especially w/ potted cactus, it's a simple fix, pinch up the soil and place back into the container, the cactus are almost impossible to damage during shipping, but displaced soil is always a possibility.  

 

  • Want an upgrade from plastic pots??? Make it easy on yourself! Add on our complete wedding/event favor kits with mini favor buckets (white, tin, silver, caramel), terracotta pots, and glass votives (clear or frosted) with a gravel topper…something for every venue to make your succulents shine

    Terracotta pots (2.5”) are 2.25” tall; the top is 2.5” wide.
    Pails are approximately 2" tall; the top is 2 1/2" wide and bottom is about 2".
    Mirrored round votive is     2.5"(H) x 2.5"(W), inner opening is 2".
    Mirrored flower pot is 2.25"(H) x 2.75"(W), inner opening is 2.5".

     

     * Note: when transferring the Mini Terracotta pots you will have to lose some soil due to their cute small size!

  • Over 99.9% of our succulents and cactus arrive just fine, but if they don’t, let us know within 24 hours and we’ll fix the problem quickly! We sell succulents and cacti Full Time, it’s our Family Business and it’s what we do!

    We, at the Succulent Source, understand that weddings, showers and parties can be stressful to plan. That is why we do our very best to provide Excellent Customer Service, Fast Shipping, and most importantly a Beautiful succulent Product that will help to make your experience turn into an unforgettable and wonderful memory!!

    We recommend making your order at least 2-3 weeks in advance of the date you want them to arrive at your home. You may order up to a year in advance to reserve your plants and hold our current pricing. We will put you on our master calendar for delayed ship out.  Just notate in the note to the seller section the date of your event upon Checkout and we will ship so they arrive 7-10 days prior to the event.  Ordering late?? Generally not a problem as we can complete rush orders and or expedite shipping in most cases. 

    We can customize any order, work with color requests, quantity, size, etc.

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SKU: 16976971164

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4.6 ★★★★★
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Zygerian99
Birmingham, US
★★★★★ 5
The definitive guide to becoming a researcher in the field
Format: Hardcover
This is not a coding book. I see a lot of negative reviews around the expectation that this book would teach the reader how to quickly build machine learning systems and write code. This book is not for that audience. If you just want to build applications, don't worry about how deep learning works. It's akin to needing to understand how an engine works just to drive a car. If you are looking for a coding resource, try: https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=sr_1_4?keywords=machine+learning+tensorflow&qid=1579608765&sr=8-4 . And even with that book, the material still goes far beyond what you need - use it as a light reference. I bought this book as an aspiring machine learning researcher, and towards that end, it is the best resource available in print (still true as of 2020). For instance: The first 5 chapters are timeless. These are things that were mostly established 20 or 30 years ago and beyond and are mostly STEM fundamentals at this point. There are whole textbooks dedicated to each of those chapters, but the authors provide a quick refresher and overview of probably 80% of what you'll encounter in deep learning. If you haven't previously learned each of these subtopics, you'll probably want to study them individually since they are the key to innovating (linear algebra, probability & stats, numerical computation, machine learning fundamentals). Chapters 6 thru 9 are the foundation of deep learning. We're about 12 years into seeing rapid change in the deep learning space, yet all of these principles and techniques still hold (many recent innovations are still relying on Convolutional models in 2020, which is the most layered/complex topics in those chapters). Therefore, I'd wager that these chapters are also fairly stable knowledge that is worth internalizing if you want to be deeply involved in the future of machine learning. Chapters after 9 are mostly experimental topics, and many of them are already the wrong strategies for optimal results. But there are interesting ideas in here that you'll often encounter in the wild, so it's good exposure to various topics. But probably not worth much of your time. And lastly, there is good history in here from people who know the space intimately. It's a good way to piece together the developments and learn the lexicon of deep learning so you can have intelligent conversation with experts.
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Reviewed in the United States on January 21, 2020
S
Verified Purchase
Shannon
Battle Creek, 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
Alexandria, 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
Fort Morgan, 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
A
Verified Purchase
Amazon Customer
Cuba, 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

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