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Fast LanesBy: Jayne Anne Phillips Series: Vintage Contemporaries From the Pulitzer Prize winning author of Night Watch: a short story collection that presents a tour de force of voices, offering elegantly rendered views into the lives of characters torn between the liberation of detachment and the desire to connect. "A brilliant writer, utterly original and with an astonishing range." Ian McEwan, New York Times bestselling author of Atonement and Lessons Three
By: Jayne Anne Phillips | Series: Vintage ContemporariesFrom the Pulitzer Prize-winning author of Night Watch: a short story collection that presents a tour de force of voices, offering elegantly rendered views into the lives of characters torn between the liberation of detachment and the desire to connect.
"A brilliant writer, utterly original and with an astonishing range." —Ian McEwan, New York Times bestselling author of Atonement and Lessons
Three stories are collected in this edition for the first time: in "Alma," and adolescent daughter is made the confidante of her lonely mother; "Counting" traces the history of a doomed love affair; and "Callie" evokes memories of the haunting death of a child in 1920's West Virginia. Along with the original seven stories from Fast Lanes—each told in extraordinary first person narratives that have been hailed by critics as virtuoso performances—these incandescent portraits offer windows into the lives of an entire generation of Americans, demonstrating again and again why Jayne Anne Phillips remains one of our most powerful writers.
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4.7 ★★★★★
Based on 10 reviews
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Product Reviews
★★★★★ 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
★★★★★ 5
An Easy Read
Format: Paperback
A good narrative description of how the various systems work. Good for getting a conceptual understanding. No math to speak of, and if you want it, you can refer to the references cited, or your other favorite machine learning book.
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Reviewed in the United States on May 7, 2024
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