※ 코드 출처는 한빛아카데미의 <컴퓨터 비전과 딥러닝>입니다. import numpy as np import tensorflow as tf import tensorflow.keras.datasets as ds from tensorflow.keras.models import Sequential from tensorflow.keras.layers import Dense from tensorflow.keras.optimizers import Adam, SGD (x_train, y_train), (x_test, y_test) = ds.mnist.load_data() x_train = x_train.reshape(60000, 784) x_test = x_test.reshape(10000, 784) x_train = x_train.astype(np.float32) / 255.0 x_test = x_test.astype(np.float32) / 255.0 y_train = tf.keras.uti...
![컴퓨터비전/딥러닝] 깊은 다층 퍼셉트론 겉핥기 (Python, Tensorflow, 텐서플로, 파이썬)](https://mblogthumb-phinf.pstatic.net/MjAyMzAzMDNfNTUg/MDAxNjc3ODA5MjUwMjMz.baW_dcqiELANuKMENJxStLH2KkzCr3PicAYxA9d3WPcg.Q6QFhKh3NjJy0IFbnrSTEP656176IjLj_DWxrAxZJRUg.PNG.rapperkjm/image.png?type=w2)
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DeepLearning
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Python
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Tensorflow
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깊은다층퍼셉트론
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딥러닝
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컴퓨터비전
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케라스
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텐서플로
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파이썬
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