ororox

import tensorflow as tf

model = tf.keras.models.Sequential([
    tf.keras.layers.Conv2D(16, (3,3), activation='relu', input_shape=(300, 300, 3)),
    tf.keras.layers.MaxPooling2D(2, 2),
    tf.keras.layers.Conv2D(32, (3,3), activation='relu'),
    tf.keras.layers.MaxPooling2D(2,2),
    tf.keras.layers.Conv2D(64, (3,3), activation='relu'),
    tf.keras.layers.MaxPooling2D(2,2),
    tf.keras.layers.Conv2D(64, (3,3), activation='relu'),

ororox

import tensorflow as tf
print(tf.__version__)

class myCallback(tf.keras.callbacks.Callback):
  def on_epoch_end(self, epoch, logs={}):
    if(logs.get('acc')>=0.90):
      print("\nReached 90% accuracy so cancelling training!")
      self.model.stop_training = True

#mnist = tf.keras.datasets.fashion_mnist

ororox

public class JavaRunner02 {

	public static void main(String[] args) {
		
		/* 입력부 */
		int firstNumber = 2;
		int secondNumber = 3;
	

		/* 출력변수 */

ororox

public class JavaRunner01 {

	public static void main(String[] args) {
		
		/* 입력부 */
		int firstNumber = 2;

		
		/* 출력변수 */
		String prtStr = null;

ororox

public class JavaRunner {

	public static void main(String[] args) {
		
		/* 입력부 */
		// 현재는 내부에 있으나, 향후 사용자 입력을 받을 예정
		int firstNumber = 2;
		int secondNumber = 3;

		/* 연산부 */