Ternary Neural Networks (+1,0,-1) quantized model For PC Windows and MAC – Free Download

Ternary Neural Networks (+1,0,-1) quantized model For PC Free Download And Install On Windows 10, MacOS, the newest version of “Ternary Neural Networks (+1,0,-1) quantized model” is now available to run on computer OSs such as Windows 10 32bit & 64bit.

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How To Install Ternary Neural Networks (+1,0,-1) quantized model App on Windows PC & MacBook

Download Ternary Neural Networks (+1,0,-1) quantized model software for PC with the most potent and most reliable Android Emulator like NOX APK player or BlueStacks. All the Android emulators are completable for using Ternary Neural Networks (+1,0,-1) quantized model on Windows 10, 8, 7, computers, and Mac.

  1. Download Emulators for Windows PC from official pages below to install them.
  2. Best emulators are here: BlueStacks.com; Or as an alternative BigNox.com.
  3. Open Android emulator and login with Google account.
  4. Ternary Neural Networks (+1,0,-1) quantized model app available on Play Store. So search and find it.
  5. Choose install option under the Ternary Neural Networks (+1,0,-1) quantized model logo, and enjoy!

FAQ Of Ternary Neural Networks (+1,0,-1) quantized model- Features and User Guide

Deep learning recognizes handwritten digits with high recognition rate. We usually use MNIST data sets (60,000 train-images and 10,000 test-images) to demonstrate neural network models.
Original MNIST didn’t suitable for this applications and I made my own handwritten data sets.

When you write a number in the blank space, ternary neural networks will recognize the number. You can see the prediction, probability, time cost and number of multiplications.

Ternary Neural Networks have only 9 multiplication patterns.
——————————–
0x0
0x1
0x(-1)
1×0
1×1
1x(-1)
(-1)x0
(-1)x1
(-1)x(-1)
——————————–

In this applications, details of multiplications in networks are obvious.

If I used Tensor Flow lite, it would be easier to implement neural networks model in Android application. I didn’t use libraries to show the number of multiplications. “For loop” recognition isn’t efficient but useful to learn details of the networks.

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What’s New On New Version Of Ternary Neural Networks (+1,0,-1) quantized model

2020/02/11

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