SKU: 85629920753
original set pokemon cards

original set pokemon cards Base Set 2 Complete Master Set (130/130) 2000| TradingCardSets.Com

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Description

original set pokemon cards Base Set 2 Complete Master Set (130/130) 2000| TradingCardSets.ComUp for sale is a rare and highly sought after item a complete master set of Pokmon Card Base Set 2 from the year 2000! This set is a must have for any serious Pokmon card collector, as it includes all 130 cards from the set, including rare and powerful cards like Charizard, Blastoise, and Venusaur. Includes 130 cards total, all possible holographic, rare, common, and uncommon Base Set 2 cards. Base Set 2 was the fourth set of cards to be released, and

Up for sale is a rare and highly sought-after item - a complete master set of Pokémon Card Base Set 2 from the year 2000! This set is a must-have for any serious Pokémon card collector, as it includes all 130 cards from the set, including rare and powerful cards like Charizard, Blastoise, and Venusaur. Includes 130 cards total, all possible holographic, rare, common, and uncommon Base Set 2 cards. 

Base Set 2 was the fourth set of cards to be released, and is a compilation of different Pokémon and artworks from the Base Set and Jungle Set. The symbol for this set resembles a number 2 with a Pokéball in the center. There are 130 cards total in Base Set 2. Base Set 2 was originally released in February of 2000. 

The Base Set 2 was the follow-up to the original Base Set and was released in 2000. It features classic Pokémon characters from the first generation, and the cards are highly valued for their nostalgic and collectible appeal. This complete set is in excellent condition, with all cards stored and shipped carefully and meticulously in an included side-load binder!

The set includes a wide variety of cards, from common to rare, and features artwork and designs unique to the Base Set 2. Whether you're a long-time collector or a newcomer to the world of Pokémon cards, this complete set is sure to be a prized addition to your collection.

Don't miss your chance to own this rare and valuable item - buy now and add the Pokémon Base Set 2 Complete Set (130/130) to your collection today!

All cards are authentic, official Pokémon TCG (Trading Card Game) Cards. All cards are in English. All cards are raw (ungraded) unless otherwise stated. Card conditions in this particular set range from Near Mint to Moderately Played. Cards are carefully stored and shipped protected in an included high-quality side load binder. Send us an e-mail at [email protected] or use the chat feature to ask for photos of the complete set for sale or any individual cards! We sell a large number of sets and the set in the photographs may be a set that we previously sold and not the exact cards for sale! For more information be sure to check our Frequently Asked Questions (F.A.Q.) section! 

Base Set 2 Complete Master Set (130/130) 2000 Card List:

1/130 Alakazam

2/130 Blastoise

3/130 Chansey

4/130 Charizard

5/130 Clefable

6/130 Clefairy

7/130 Gyarados

8/130 Hitmonchan

9/130 Magneton

10/130 Mewtwo

11/130 Nidoking

12/130 Nidoqueen

13/130 Ninetales

14/130 Pidgeot

15/130 Poliwrath

16/130 Raichu

17/130 Scyther

18/130 Venusaur

19/130 Wigglytuff

20/130 Zapdos

21/130 Beedrill

22/130 Dragonair

23/130 Dugtrio

24/130 Electabuzz

25/130 Electrode

26/130 Kangaskhan

27/130 Mr. Mime

28/130 Pidgeotto

29/130 Pinsir

30/130 Snorlax

31/130 Venomoth

32/130 Victreebel

33/130 Arcanine

34/130 Butterfree

35/130 Charmeleon

36/130 Dewgong

37/130 Dodrio

38/130 Dratini

39/130 Exeggutor

40/130 Farfetch'd 

41/130 Fearow

42/130 Growlithe

43/130 Haunter

44/130 Ivysaur

45/130 Jynx

46/130 Kadabra

47/130 Kakuna

48/130 Lickiting

49/130 Machoke

50/130 Magikarp

51/130 Magmar

52/130 Marowak

53/130 Nidorina

54/130 Nidorino

55/130 Parasect

56/130 Persian

57/130 Poliwhirl

58/130 Raticate

59/130 Rhydon

60/130 Seaking

61/130 Seel

62/130 Tauros

63/130 Wartortle

64/130 Weepinbell

65/130 Abra

66/130 Bellsprout

67/130 Bulbasaur

68/130 Caterpie

69/130 Charmander

70/130 Cubone

71/130 Diglett

72/130 Doduo

73/130 Drowzee

74/130 Exeggcute

75/130 Gastly

76/130 Goldeen

77/130 Jigglypuff

78/130 Machop

79/130 Magnemite

80/130 Meowth

81/130 Metapod

82/130 Nidoran F

83/130 Nidoran M

84/130 Onix

85/130 Paras

86/130 Pidgey

87/130 Pikachu

88/130 Poliwag

89/130 Rattata

90/130 Rhyhorn

91/130 Sandshrew 

92/130 Spearow

93/130 Squirtle

94/130 Starmie

95/130 Staryu

96/130 Tangela

97/130 Venonat

98/130 Voltorb

99/130 Vulpix

100/130 Weedle

101/130 Computer Search

102/130 Imposter Professor Oak

103/130 Item Finder

104/130 Lass

105/130 Pokémon Breeder

106/130 Pokémon Trader 

107/130 Scoop Up

108/130 Super Energy Removal

109/130 Defender

110/130 Energy Retrieval

111/130 Full Heal

112/130 Maintenance

113/130 PlusPower

114/130 Pokemon Center

115/130 Pokedex

116/130 Professor Oak

117/130 Super Potion

118/130 Bill

119/130 Energy Removal

120/130 Gust of Wind

121/130 Poke Ball

122/130 Potion

123/130 Switch

124/130 Double Colorless Energy

125/130 Fighting Energy

126/130 Fire Energy

127/130 Grass Energy

128/130 Lightning Energy

129/130 Psychic Energy

130/130 Water Energy

Disclaimer: Please note that while the images shown on our listings are not pictures of the exact cards in each set. You will receive one of each of the cards shown in the photos, but the cards received will not be the exact cards pictured. These images are from previously sold sets and serve as a reference. Every card is unique and the actual cards you receive may vary from those shown in the images. We adhere to card condition guidelines and are committed to transparency in our descriptions and titles. For additional peace of mind, we welcome requests for front and back close-ups of any specific cards prior to your purchase. By placing an order, you acknowledge and agree to these terms.

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Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
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SKU: 85629920753

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4.4 ★★★★★
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William P Ross
West Palm Beach, 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
Pawtucket, 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
Massapequa, 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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mackster
Alexandria, 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
S
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Stergios Papadimitriou
Draper, US
★★★★★ 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

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