小编tes*_*est的帖子

使用GradientDescentOptimizer而不是Adam Optimizer时,模型似乎不会收敛.另一方面,AdamOptimizer似乎工作正常.来自tensorflow的GradientDescentOptimizer出了什么问题？

import matplotlib.pyplot as plt
import tensorflow as tf
import numpy as np

def randomSample(size=100):
    """
    y = 2 * x -3
    """
    x = np.random.randint(500, size=size)
    y = x * 2  - 3 - np.random.randint(-20, 20, size=size)    

    return x, y

def plotAll(_x, _y, w, b):
    fig = plt.figure()
    ax = fig.add_subplot(111)
    ax.scatter(_x, _y)

    x = np.random.randint(500, size=20)
    y = w * x + b
    ax.plot(x, y,'r')
    plt.show()

def lr(_x, _y):

    w = tf.Variable(2, dtype=tf.float32)
    b = tf.Variable(3, dtype=tf.float32) …