[tensorflow] tf.GradientTape.gradient() 계산 과정 보기
import tensorflow as tf import numpy as np rng = np.random learning_rate = 0.01 training_steps = 1000 display_step = 50 # X = np.array([3.3,4.4,5.5,6.71,6.93,4.168,9.779,6.182,7.59,2.167, # 7.042,10.791,5.313,7.997,5.654,9.27,3.1]) # Y = np.array([1.7,2.76,2.09,3.19,1.694,1.573,3.366,2.596,2.53,1.221, # 2.827,3.465,1.65,2.904,2.42,2.94,1.3]) X = np.array([3.3,1]) Y = np.array([1.7,2]) W = tf.Var..
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