regression

3개의 Feature를 가진 회귀모델 # Lab 4 Multi-variable linear regression import tensorflow as tf tf.set_random_seed(777) # for reproducibility x1_data = [73., 93., 89., 96., 73.] x2_data = [80., 88., 91., 98., 66.] x3_data = [75., 93., 90., 100., 70.] y_data = [152., 185., 180., 196., 142.] # placeholders for ...

• deep-learning
• tensorflow
• regression

# Lab 5 Logistic Regression Classifier import tensorflow as tf tf.set_random_seed(777) # for reproducibility x_data = [[1, 2], [2, 3], [3, 1], [4, 3], [5, 3], [6, 2]] y_data = [[0], [0], [0], [1], [1], [1]] # placeholders for a tensor that will be always fed.

• deep-learning
• tensorflow
• regression
• logistic-regression
• classification