bike pedal near me Marcy Replacement Pedal Set (ME-708, ME-709, ME-1019R, NS-40502R)
SKU: 89436666051
bike pedal near me

bike pedal near me Marcy Replacement Pedal Set (ME-708, ME-709, ME-1019R, NS-40502R)

Sale price$19.79 Regular price$21.99
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Description

bike pedal near me Marcy Replacement Pedal Set (ME-708, ME-709, ME-1019R, NS-40502R)Replacement Pedals compatible with the ME 708, ME 709, ME 1019R, NS 40502R Exercise Bikes: ME 708 ME 709 ME 1019R NS 40502R One pedal set contains one left pedal & one right pedal. Pedal straps included Replacement Pedal Assembly Instructions Left Pedal: Turn LEFT to tighten pedal Right Pedal: Turn RIGHT to tighten pedal NOTE: The pedals are labeled with [R] and [L] stickers to indicate right & left. The LEFT pedal is reverse threaded & must be turned

Replacement Pedals compatible with the ME-708, ME-709, ME-1019R, NS-40502R Exercise Bikes:

  • ME-708
  • ME-709
  • ME-1019R 
  •  NS-40502R

One pedal set contains one left pedal & one right pedal. Pedal straps included

Replacement Pedal Assembly Instructions

  • Left Pedal: Turn LEFT to tighten pedal
  • Right Pedal: Turn RIGHT to tighten pedal

NOTE: The pedals are labeled with [R] and [L] stickers to indicate right & left. The LEFT pedal is reverse threaded & must be turned counterclockwise to tighten

Please Note: Sales on all replacement parts are final. If you are unsure if the part will fit your model, please contact 1-800-999-8899 for clarification.

This product is not intended for commercial use.

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SKU: 89436666051

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MrGee
Battle Creek, 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
Draper, 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
Draper, 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
Battle Creek, 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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