How to use Jupyter in TensorFlow?

1 year ago
Ava Mitchell
1 minute

You can use TensorFlow in Jupyter by following these steps:

  1. Install TensorFlow: run pip install tensorflow in the terminal or command prompt to install the TensorFlow library.
  2. To launch Jupyter: Run ‘jupyter notebook’ in the terminal or command prompt to start Jupyter.
  3. Create a new Python notebook: Click on the “New” button in the top right corner of the Jupyter main interface, and then select “Python 3” to create a new Python notebook.
  4. Import TensorFlow: In the first code cell, type ‘import tensorflow as tf’ to bring in the TensorFlow library.
  5. Write and execute TensorFlow code: In the following code cells, you can write and execute TensorFlow code. For example, you can use tf.constant to create a constant tensor and use tf.Session to run the computation graph.
  6. Run code cells: In each code cell, you can press Shift + Enter to execute the code and view the results.

Here is a simple example showing how to use TensorFlow in Jupyter.

# 导入TensorFlow
import tensorflow as tf

# 创建一个常量张量
a = tf.constant(2)
b = tf.constant(3)

# 创建一个计算图
c = tf.add(a, b)

# 创建一个会话并运行计算图
with tf.Session() as sess:
    result = sess.run(c)
    print(result)

This will output the calculation result of 5.

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