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Pre-train	Target	Unit	MAE	Epochs
No	μ	Debye	0.0285	800
Yes	μ	Debye	0.0261	700

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import UIKit

class ViewController: UIViewController {

    @IBOutlet weak var imgView: UIImageView!

    override func viewDidLoad() {
        super.viewDidLoad()
        loadSample()
    }

akirasosa

import CoreML
import XCTest
@testable import mlsample

class mlsampleTests: XCTestCase {
    
    override func setUp() {
        super.setUp()
    }
    

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package tfexample.myapp.com.myapplication

import android.os.Bundle
import android.support.v7.app.AppCompatActivity
import android.util.Log
import org.tensorflow.contrib.android.TensorFlowInferenceInterface
import kotlin.system.measureTimeMillis


val modelName = "file:///android_asset/mobile_unet_160_100_100.pb"

akirasosa

import time

import numpy as np
from keras import Input
from keras.applications.mobilenet import DepthwiseConv2D
from keras.engine import Model
from keras.layers import Conv2D

batch_num = 16

akirasosa

import numpy as np
from keras.layers import Dense, Dropout, Activation
from keras.layers.advanced_activations import PReLU
from keras.models import Sequential
from matplotlib import pyplot as plt

seed = 7
np.random.seed(seed)

num_digits = 14  # binary encode numbers

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{
    "email": "[email protected]",
    "email_verified": true,
    "family_name": "Sosa",
    "gender": "male",
    "given_name": "Akira",
    "hd": "gmail.com",
    "locale": "en",
    "name": "Akira Sosa",
    "picture": "https://lh3.googleusercontent.com/path/to/photo.jpg",

akirasosa

echo y | ${ANDROID_HOME}/tools/android update sdk  -u -a -t platform-tools,build-tools-18.0.1