lmyslinski

with tf.Session() as sess:
    # Set up all the tensors, variables, and operations.
    input = tf.constant(x_with_bias)
    target = tf.constant(np.transpose([y]).astype(np.float32))
    weights = tf.Variable(tf.random_normal([2, 1], 0, 0.1))

    tf.initialize_all_variables().run()

    yhat = tf.matmul(input, weights)
    yerror = tf.sub(yhat, target)