DeepLearning_Lab03 - 8BitsCoding/RobotMentor GitHub Wiki

• 참고사이트

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# Lab 3 Minimizing Cost
import tensorflow as tf
import matplotlib.pyplot as plt

matplotlib를 설치해야한다. 여기참조

$ pip3 install -U matplotlib

X = [1, 2, 3]
Y = [1, 2, 3]

W = tf.placeholder(tf.float32)

# Our hypothesis for linear model X * W
hypothesis = X * W

# cost/loss function
cost = tf.reduce_mean(tf.square(hypothesis - Y))

hypothesis와 cost가 위와 같은 이유는

# Variables for plotting cost function
W_history = []
cost_history = []

plot에 사용될 변수 선언

# Launch the graph in a session.
with tf.Session() as sess:
    for i in range(-30, 50):
        curr_W = i * 0.1
        curr_cost = sess.run(cost, feed_dict={W: curr_W})

        W_history.append(curr_W)
        cost_history.append(curr_cost)

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참고

식이 왜 나왔는지 도출