python-tensorflowHow can I use Python and TensorFlow to create a neural network example?

Using Python and TensorFlow, you can create a neural network example with the following steps:

1. Import the needed libraries:

import tensorflow as tf
import numpy as np

2. Create placeholders for the inputs and labels:

x = tf.placeholder(tf.float32, shape=[None, 784])
y_ = tf.placeholder(tf.float32, shape=[None, 10])

3. Create the weights and biases for the network:

W = tf.Variable(tf.zeros([784, 10]))
b = tf.Variable(tf.zeros([10]))

4. Define the model:

y = tf.nn.softmax(tf.matmul(x, W) + b)

5. Define the cost function:

cross_entropy = tf.reduce_mean(-tf.reduce_sum(y_ * tf.log(y), reduction_indices=[1]))

6. Train the model:

train_step = tf.train.GradientDescentOptimizer(0.5).minimize(cross_entropy)

7. Initialize the variables and run the session:

init = tf.global_variables_initializer()
sess = tf.Session()
sess.run(init)

Helpful links

• TensorFlow Tutorial
• TensorFlow Neural Network Tutorial

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