SKU: 75234772259

Shure MX412D/C Desktop-Mounted 12" Cardioid Gooseneck Microphone

Sale price$220.05 Regular price$244.50
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Description

Shure MX412D/C Desktop-Mounted 12" Cardioid Gooseneck MicrophoneMX412D 12" Desktop Base with 10' Cable, Logic Functions, Programmable Switch, LED Indicator, Snap Fit Foam Windscreen Microflex Standard Gooseneck microphones bring a whole new meaning to the word flexible with their fully adjustable gooseneck. Designed for easy replacement and available in cardioid, supercardioid and omnidirectional polar patterns, the interchangeable cartridges offer wide frequency response and accurate sound reproduction for a wide

MX412D - 12"  Desktop Base with 10' Cable, Logic Functions, Programmable Switch, LED Indicator, Snap-Fit Foam Windscreen

Microflex® Standard Gooseneck microphones bring a whole new meaning to the word flexible with their fully adjustable gooseneck. Designed for easy replacement and available in cardioid, supercardioid and omnidirectional polar patterns, the interchangeable cartridges offer wide frequency response and accurate sound reproduction for a wide variety of applications, such as houses of worship, courtrooms and conference centers. Plus, the condenser cartridges fit every model in the Microflex product line for enhanced convenience and consistent sound. 

  • Wide dynamic range and frequency response for accurate sound reproduction across the audio spectrum
  • Interchangeable cartridges provide the right polar pattern for every application
  • Balanced, transformerless output for increased immunity to electromagnetic hum and RF interference over long cable runs
  • Shock mount provides over 20 dB isolation from surface vibration noise
  • Locking flange mount for permanently securing microphone to lecterns, pulpits, or conference tables
  • Snap-fit foam windscreen
  • Programmable on/off switch and LED on/off indicator (MX412D/MX418D)
  • New brighter LED improves visibility under strong ambient lighting (MX412D/MX418D)
  • Logic input and output terminals for remote control or use with automatic microphone mixers (MX412D/MX418D)
  • Supplied shock mount for more than 20 dB isolation from surface transmitted noise (MX412SE/MX418SE)
  • Supplied threaded flange mount for permanently securing the microphone to a lectern, pulpit, or conference table (MX412SE/MX418SE)
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SKU: 75234772259

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R. Cote
Waukegan, 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
Alexandria, 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
Omaha, 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
Boise, 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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3rd Act
Fort Morgan, US
★★★★★ 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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