python-tensorflowHow do I write Python code to use TensorFlow?

To write Python code to use TensorFlow, you need to install the TensorFlow library. This can be done using pip:

pip install tensorflow

Once the TensorFlow library is installed, you can import it into your Python code:

import tensorflow as tf

You can then use the library to define a TensorFlow graph:

# Create a graph
g = tf.Graph()

# Set the graph as the default graph
with g.as_default():
  # Define operations and tensors in the graph
  c = tf.constant(30.0)
  print(c)

# Output
Tensor("Const:0", shape=(), dtype=float32)

The code above creates a graph g and defines a constant tensor c with a value of 30.0. Once the graph is created, you can use TensorFlow's API to define operations and tensors. After the graph is defined, you can use the tf.Session() function to execute the graph.

# Create a session to execute the graph
with tf.Session(graph=g) as sess:
  print(sess.run(c))

# Output
30.0

The code above creates a session sess and executes the graph g. The result of the execution is the value of the constant tensor c.

For more information, please refer to the TensorFlow documentation.

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