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Today, the editor will share with you the relevant knowledge points about how to build a neural network through Tensorflow. The content is detailed and the logic is clear. I believe most people still know too much about this knowledge, so share this article for your reference. I hope you can get something after reading this article.

Tensorlow structure import tensorflow as tfimport numpy as np # create data x_data = np.random.rand (np.float32) y_data = x_data*0.1+0.3 # create a tensorlow structure weights = tf.Variable (tf.random_uniform ([1],-1.0,1.0)) # one dimension Biases = tf.Variable (tf.zeros ([1])) y = weights*x_data + biases loss = tf.reduce_mean (tf.square (y-y_data)) # mean square error function # establish optimizer to reduce error and improve parameter accuracy. Each iteration optimizes optimizer = tf.train.GradientDescentOptimizer (0.5) # learning rate of 0.5 (

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