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Competition Clutch 1994-2005 Mazda Miata 13lb Steel FlywheelCompetition Clutch Lightweight Steel Flywheels (ST suffix) are recommended for naturally aspirated and or street driven applications. This flywheel preserves low end torque and driveability. Well suited for Stage 1 and Stage 2 clutch applications. Made of 4140 forged steel and are a one piece design. Not all applications have the ST and STU versions available. Flywheel weights vary from 8lbs to 18lbs depending on application.
Competition Clutch Lightweight Steel Flywheels (ST suffix) are recommended for naturally aspirated and/or street-driven applications. This flywheel preserves low-end torque and driveability. Well-suited for Stage 1 and Stage 2 clutch applications. Made of 4140 forged steel and are a one-piece design. Not all applications have the ST and STU versions available. Flywheel weights vary from 8lbs to 18lbs depending on application.Shipping Notes
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4.5 ★★★★★
Based on 13 reviews
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Product Reviews
★★★★★ 5
Great book to understand Neural Networks!
Format: Paperback
Loved the book and I highly recommend. It was thorough and very easy to understand.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 1, 2025
★★★★★ 5
Quadruple BAM.
Format: Paperback
Quadruple BAM. Josh Starmer has done it again at a higher level than ever, making deep learning concepts accessible to absolutely anyone.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 22, 2025
★★★★★ 5
Amazing textbook
Format: Paperback
Awesome book
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Reviewed in the United States on October 12, 2025
★★★★★ 5
Buen libro para entender conceptos de redes neuronales
Format: Paperback
El libro explica de manera didáctica los principales algoritmos de redes neuronales estilo Statquest. Esperando la versión en español.
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Reviewed in the United States on February 24, 2026
★★★★★ 5
Visual learners will love this
Format: Paperback
This book is amazing for the visual learner! I've taken numerous online classes that use animated videos to explain deep learning concepts visually, but this book accomplishes the same thing in print! I've also purchased deep learning books with pages and pages of formulas and hardly any illustrations. My brain can't process symbolic math without a picture. Kudos on creating something truly unique and super valuable.
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Reviewed in the United States on February 15, 2025
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