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如何训练具有张量流的简单非线性回归模型?

我已经看过这个线性回归的例子,我想训练一个模型

在此输入图像描述

哪里 在此输入图像描述

我试过的

#!/usr/bin/env python

"""Example for learning a regression."""


import tensorflow as tf
import numpy

# Parameters
learning_rate = 0.01
training_epochs = 1000
display_step = 50

# Generate training data
train_X = []
train_Y = []
f = lambda x: x**2
for x in range(-20, 20):
    train_X.append(float(x))
    train_Y.append(f(x))
train_X = numpy.asarray(train_X)
train_Y = numpy.asarray(train_Y)
n_samples = train_X.shape[0]

# Graph input
X = tf.placeholder("float")
Y = tf.placeholder("float")

# Create Model
W1 = tf.Variable(tf.truncated_normal([1, 10], stddev=0.1), name="weight")
b1 = …
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python regression tensorflow

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