SKU: 67289980521

Great Electric Locomotives

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Description

Great Electric LocomotivesCLEARANCE ITEM May have imperfect packaging but comes with a full 12 month warranty* Great Electric Locomotives is one of many German add ons for train simulator, as well as a few small passenger trains you also get some high speed trains as well. Also, there is not really only one route to take. The main route, which is the one from leipzig to Dresden is the main one and there is also a smaller route to take that goes around the outskirts of Leipzig,

CLEARANCE ITEM   May have imperfect packaging but comes with a full 12 month warranty*

Great Electric Locomotives is one of many German add ons for train simulator, as well as a few small passenger trains you also get some high speed trains as well. Also, there is not really only one route to take. The main route, which is the one from leipzig to Dresden is the main one and there is also a smaller route to take that goes around the outskirts of Leipzig, if you are a very experienced train sim driver then this could suit you but if you prefer very challenging activities then you can try this out but the activities may not offer challenges that are very exciting, all you have to do is keep to the schedule, speed limit and stop at red lights.

System Requirements

Required Software Microsoft Train Simulator
Operating System Windows XP(SP3) / Vista / 7
Processor Intel 2 GHz or great
Memory 1 GB system memory
Graphics Dedicated graphics card with 64 MB memory
Hard Drive 200 MB available space

 

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SKU: 67289980521

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MrGee
New York, 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.
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Reviewed in the United States on August 5, 2021
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R. Cote
Phoenix, 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
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Reviewed in the United States on April 5, 2025
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Rafael Azevedo Souza Costa
Belleville, US
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
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Reviewed in the United States on May 19, 2025
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Thomas
Port Orchard, 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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La Monte HP Yarroll
Charlottesville, 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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