tensorflow 3
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from __future__ import absolute_import, division, print_function, unicode_literals import os import numpy as np import matplotlib.pyplot as plt import tensorflow as tf from tensorflow.keras.utils import Sequence from tensorflow.keras.utils import to_categorical import tensorflow.keras as keras from keras import models from keras import layers from tensorflow.keras.optimizers import SGD %matplotl..
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import tensorflow as tf def AlexNet( input_shape=None, weights=None, classes=1000, classifier_activation='softmax'): model = tf.keras.Sequential([ #특징 추출 부분 #Conv 1 tf.keras.layers.Conv2D(filters=96, kernel_size=(11, 11), strides=4, padding="valid", activation=tf.keras.activations.relu, input_shape=input_shape), #Max Pool 1 tf.keras.layers.MaxPool2D(pool_size=(3, 3), strides=2, padding="valid"),..
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