SKU: 23481117632

Originele vingerafdruksensor flexkabel in blauw voor Samsung Galaxy Z Flip4 SM-F721

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Description

Originele vingerafdruksensor flexkabel in blauw voor Samsung Galaxy Z Flip4 SM-F721Werkt de vingerafdruksensor van je Galaxy Z Flip4 niet meer? Deze originele flex herstelt de zijgemonteerde sensor. Past op SM F721 en behoudt de blauwe kleurmatch. Specificaties Onderdeeltype: Vingerafdruksensor flexkabel Kleur: blauw Aansluiting: Originele sensor connector Materiaal: Flex met sensor module Kwaliteit: Origineel, 100% getest en werkend Levering: Losse flex met sensor Compatibele modellen: Samsung Galaxy Z Flip4 SM F721 Symptomen van

Werkt de vingerafdruksensor van je Galaxy Z Flip4 niet meer? Deze originele flex herstelt de zijgemonteerde sensor. Past op SM-F721 en behoudt de blauwe kleurmatch.

Specificaties

  • Onderdeeltype: Vingerafdruksensor flexkabel
  • Kleur: blauw
  • Aansluiting: Originele sensor-connector
  • Materiaal: Flex met sensor-module
  • Kwaliteit: Origineel, 100% getest en werkend
  • Levering: Losse flex met sensor
  • Compatibele modellen: Samsung Galaxy Z Flip4 SM-F721

Symptomen van een defecte vingerafdruksensor

  • Telefoon herkent vingerafdruk niet meer
  • Sensor reageert traag of onregelmatig
  • Setup van nieuwe vinger lukt niet
  • Sensorvlak voelt los
  • Foutmelding bij scannen

Installatie

🔴 Moeilijkheidsgraad: moeilijk · ~50 minuten · Gereedschap: Pentalobe-schroevendraaier, Plastic spudger, Heat pad, Pincet, ESD-band.

Veelgestelde vragen

Werkt deze sensor zonder pairing met het moederbord?
De sensor moet aan het toestel gekoppeld worden via de instellingen na installatie.

Past deze flex ook op de Z Flip3?
Nee, alleen op SM-F721. De Z Flip3 gebruikt een andere connector.

Welke kleurversie moet ik kiezen?
De kleur is enkel zichtbaar via het zijvlak — kies dezelfde kleur als de behuizing voor een nette afwerking.

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SKU: 23481117632

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MrGee
Carnegie, 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
Port Orchard, 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
Natrona Heights, 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
Lowell, 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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