SKU: 69225752703

Ogon Japanese Koi Carp Cyprinus Carpio

Sale price$450.00 Regular price$500.00
Save 10%

Pay in installments of $125.00 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Aug 18 - Aug 23

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

Ogon Japanese Koi Carp Cyprinus CarpioOgon Japanese Koi Carp Cyprinus Carpio The Ogon varieties were originally bred by a Japanese koi hobbyist called Sawata Aoki. Over 95 years ago, Aoki dreamed of one day creating a very special and unique koi that would be new and exciting and completely different to any koi that was available at the time. After a few unsuccessful attempts at breeding something new, Aoki heard that a young boy had found a wild carp in a river with beautiful golden

Ogon Japanese Koi Carp Cyprinus Carpio

The Ogon varieties were originally bred by a Japanese koi hobbyist called Sawata Aoki. Over 95 years ago, Aoki dreamed of one day creating a very special and unique koi that would be new and exciting and completely different to any koi that was available at the time. After a few unsuccessful attempts at breeding something new, Aoki heard that a young boy had found a wild carp in a river with beautiful golden stripes. Aoki was quite poor at the time but just knew that he needed this fish. So, he walked many, many miles and travelled a long way to see this golden carp and when he saw it, Aoki knew that this fish was important, that it would help him to finally achieve his dream.

The boy was unwilling to give up his very special find but eventually, Aoki was able to convince the boy to sell the fish to him. Aoki gave the boy almost all his life savings in exchange for the fish but he was happy, his dream was about to come true. Aoki began his long walk home with his new fish, his mind racing with all the ideas and plans he had for this stunning fish. He could hardly imagine what this one wild carp could begin.

Unfortunately, Aoki had little success initially and almost gave up on his dream. His dreams that the wild carp would quickly produce a special new koi variety were quickly falling apart. Fortunately, however, Aoki had plenty of patience and spent the next 25 years slowly selectively breeding his wild carp with koi crap. With each generation, he chose the brightest and shiniest offspring to keep and breed on with each new generation being a little bit shinier, a little bit brighter and a little bit more consistent than the previous.

It wasn’t until 1946 that Aoki finally decided he had created a new koi variety and his new metallic koi was shown at koi shows. He had one particular koi that was shinier and brighter than all his others and stunned all the koi lovers who saw it. It has beautiful yellow skin and a stunning golden shine that caught the light beautifully. This was the very first Yamabuki Ogon and also the very first metallic koi carp. In fact, every single metallic koi that is available to us today is a direct descendant of that first Yamabuki Ogon koi.

After his success with the Yamabuki Ogon, some people thought that Aoki, having finally achieved his dream, would settle down and enjoy his new metallic koi. Certainly not! He continued to develop the Yamabuki Ogon and bred the variety with lots of other koi varieties to further produce more Ogon koi varieties. Aoki also set up his own koi breeding farm, Aokiya, where he began expanding into other, non-metallic koi varieties. Aokiya is now one of the biggest koi farms in Japan and Aoki is considered to be the leading breeder for lots of koi varieties including Gosanke, Goshiki, Kujaku, Hariwake, Kikokuryu and more!
Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
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]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 69225752703

Discover Niche Categories That Outsell

Top-Converting Item to Boost Your Average Order

4.1 ★★★★★
Based on 24 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
P
Verified Purchase
Par
Birmingham, US
★★★★★ 5
Excellent book on ML
Format: Paperback
This is a great book on machine learning. Topics covered are extensive - from beginner level to advanced topics including math behind different algorithms. However, not "all" algorithms are covered. Please go through the table of contents. The first part - 11 chapters - covers machine learning concepts and second part covers advanced topics with Pytorch. There are lots of excellent code and they work!! The quality of the book I received is excellent. I have gone through all 742 pages, and it has held up very well!! I used Jupyter notebook to run all examples. I created a new notebook and copied and pasted the code and ran them. This approach worked very well for me. At the same time, I could experiment with my take on the code snippets and definitely added to my knowledge. Only issue I have is on the second part of the book discussing PyTorch: (1) Some packages are a bit older version: e.g., transformer 4.9.1 whereas current version is 4.48+. It took some tweaking/recoding to get the examples working. (2) There is not much discussion on why certain architecture was chosen - e.g., number of layers, is there a rule of thumb on how to improve performance by changing these parameters? Even with CUDA the code run for a long time. Therefore, experimenting with different values of parameters become too time consuming. (3) On the same note, if I can achieve test accuracy of 90%+ using logistic regression and almost the same (perhaps one or two percent better with PyTorch with IMDB movie review dataset and that two much faster why should I use PyTorch for this dataset? Obviously, PyTorch is for certain types of problems. Discussions can be included by not adding to the exhaustive (and apt) contents. Personally I was disappointed by lack of any example on time series. Must have for ML practitioner as a reference and guide.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 20, 2024
R
Verified Purchase
Richard Hackathorn
Cuba, US
★★★★★ 5
Excellent Textbook for Hands-On Learning of ML
Format: Kindle
This textbook is for the serious life-long learners of machine learning. There are at least two ways to ‘consume’ this book. For the expert in ML, this is a textbook to study as a clear comprehensive ML overview and then to dive into sections of interest or ignorance. The concepts are grounded in code examples and are well cited (with links) to sources. Further, this textbook is appropriate if you are TensorFlow-centric and want to broaden into cutting-edge ML models/tools coded in PyTorch. For a new learner to ML, this is a textbook to DO (not just READ) with hands-on and brain-engaged. If you realize that ML is a key life-long skill for your career, consider this textbook as part of a daily learning habit (10-30 min). From personal experience, my advice to the new learner is as follows… First, clone the GitHub repository, setup your Python environment, and study the textbook, while working through the notebooks. Go on tangents and break the code. Do this methodically as part of your daily learning habit, but do not hesitate to jump ahead several chapters to prepare for tomorrow’s meeting. There is enough excellent material here for a full year of ML adventures. I did a similar strategy with Raschka’s first textbook. About four years ago, I had finished Andrew Ng’s Deep Learning Specialization as a student in his first cohort. I knew the concepts well but could not do the actual application coding. I was surprised how my Python coding improved by following Raschka’s clean and elegant style. And Raschka’s code examples were meaty enough to be springboards into working applications. Several textbook editions later, what is different about this new edition? First, it moves you through scikit-Learn (a firm foundation) to PyTorch, instead of TensorFlow. PyTorch is a better stepping-stone, both conceptually and practically. With PyTorch, you will go further with less energy, while being able to convert your efforts into TensorFlow as needed. In addition, most of the cutting-edge ML/AI/DL research is in PyTorch. It is nice to read a recent arXiv paper, clone their repository, click on the Colab tutorial, and replicate their experiments, along with picking up a ton of new coding tricks & tips. I am excited to work through these PyTorch sections to hone my skills. Second, there is a clear recognition of model tracking and tuning practices. This is often a gap in other ML textbooks and courses. Once you progress beyond the simple demo examples in a lecture, you realize that the real work is experiments, more experiments, and still more experiments, so that you must understand what the model architecture and hyperparameters are doing to your dataset. There is good coverage of scikit-Learn pipeline, grid search, model performance, and the like. Third, ML/AI/DL practice is rapidly evolving. Every week new ML packages/services become available that could save much grief on your current project. What is refreshing about Raschka’s textbook series is that he constantly adding cutting-edge topics because he likes to stay current and to help us stay current. Hence, this edition contains recent ML treats as: transformers, self-supervised learning, autoencoders-to-GAN, graph neural networks, DBSCAN, t-SNE (with brief mention of UMAP), and PyTorch-Lightning.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 26, 2022
A
Verified Purchase
Amazon Customer
New York, US
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 10, 2025
K
Verified Purchase
Kindle Customer
Port Orchard, US
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 3, 2026
T
Verified Purchase
Tommy Jonsson
Port Orchard, US
★★★★★ 5
Cover many areas in detail and recommendations for more to read for what's outside
Format: Paperback
Good book!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 4, 2026

recommand products