SKU: 4568836325

GIGABYTE GeForce RTX 4070 AERO OC 12GB GDDR6X

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Description

GIGABYTE GeForce RTX 4070 AERO OC 12GB GDDR6XSpecification Value Condition Condition Certified Pre owned The shroud, fan blades, and fan hubs are in very good condition with light wear. The backplate has a few light scuffs and handling marks. The PCI bracket and heatsink fins are in good condition with light wear. Only the item shown in the photos is included. Overview Brand GIGABYTE Model GeForce RTX 4070 AERO OC Model Number GV N4070AERO OC 12GD Serial Serial Number 231141027901 Inventory

Specification Value
Condition
Condition Certified Pre-owned
The shroud, fan blades, and fan hubs are in very good condition with light wear. The backplate has a few light scuffs and handling marks. The PCI bracket and heatsink fins are in good condition with light wear. Only the item shown in the photos is included.

Overview
Brand GIGABYTE
Model GeForce RTX 4070 AERO OC
Model Number GV-N4070AERO OC-12GD

Serial
Serial Number 231141027901

Inventory
Inventory # 585079
Lister Automation
Trade # 170
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SKU: 4568836325

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4.3 ★★★★★
Based on 29 reviews
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Verified Purchase
MrGee
Lake Worth, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 5, 2021
R
Verified Purchase
R. Cote
Fort Morgan, 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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 5, 2025
R
Verified Purchase
Rafael Azevedo Souza Costa
Fort Morgan, US
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 19, 2025
T
Verified Purchase
Thomas
Draper, US
★★★★★ 5
Great for intuitive understanding
Format: Paperback
Amazing book. Great examples and diagrams. If you're looking to get an intuitive grasp of deep learning, look no further. If you're an engineer looking to apply it, I would recommend pairing this with one of the more technical canonical texts and a programming focused book.
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Reviewed in the United States on May 4, 2024
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Verified Purchase
La Monte HP Yarroll
New York, US
★★★★★ 5
Taught me backpropagation
Format: Paperback
I'm finding this book a great reference to supplement Syracuse IST 691 Deep Learning in Practice. In particular, its explanation of backpropagation is the clearest I have found yet, and that even includes 3 Blue 1 Brown, which always does excellent explanations.
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Reviewed in the United States on April 13, 2025

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