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Our House Is on Fire: Scenes of a Family and a Planet in Crisis"A must read ecological message of hope . . . Everyone with an interest in the future of this planet should read this book." David Mitchell, The Guardian When climate activist Greta Thunberg was eleven, her parents Malena and Svante, and her little sister Beata, were facing a crisis in their own home. Greta had stopped eating and speaking, and her mother and father had reconfigured their lives to care for her. Desperate and searching for answers, her
"A must-read ecological message of hope . . . Everyone with an interest in the future of this planet should read this book." --David Mitchell, The Guardian When climate activist Greta Thunberg was eleven, her parents Malena and Svante, and her little sister Beata, were facing a crisis in their own home. Greta had stopped eating and speaking, and her mother and father had reconfigured their lives to care for her. Desperate and searching for answers, her parents discovered what was at the heart of Greta's distress: her imperiled future on a rapidly heating planet. Steered by Greta's determination to understand the truth and generate change, they began to see the deep connections between their own suffering and the planet's. Written by a remarkable family and told through the voice of an iconoclastic mother, Our House Is on Fire is the story of how they fought their problems at home by taking global action. And it is the story of how Greta decided to go on strike from school, igniting a worldwide rebellion.Binding Type: Paperback
Publisher: Penguin Group
Published: 03/17/2020
ISBN: 9780143133575
Pages: 288
Weight: 0.50lbs
Size: 8.20h x 5.50w x 0.70d
Review Citations: Booklist 03/01/2020 pg. 17
Kirkus Reviews 03/15/2020
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4.8 ★★★★★
Based on 21 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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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