使用TensorFlow实现SoftMax回归

功能点

TensorFlow实现softmax回归

运行环境

Python 2.7
Jupyter Notebook 4.3.0

代码预览

[mw_shl_code=python,true]import tensorflow as tf

sess = tf.Session()
x = tf.placeholder(tf.float32, shape=(None, 784), name="x")
W = tf.Variable(tf.zeros([784, 10]), name="weight")
b = tf.Variable(tf.zeros([10]), name="bais")
z = tf.matmul(x, W) + b
y = tf.nn.softmax(z)[/mw_shl_code]

代码下载

01. Softmax_Regression.zip (3.25 KB, 下载次数: 1)

2018-3-15 13:29 上传

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