How to generate array tensor in tensorflow?

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by denis , in category: Third Party Scripts , 13 days ago

How to generate array tensor in tensorflow?

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1 answer

Member

by ryleigh , 12 days ago

@denis 

In TensorFlow, you can generate an array tensor using the tf.constant() function. Here's an example of how to generate a 2D array tensor:

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import tensorflow as tf

# Create a 2D array tensor
array_tensor = tf.constant([[1, 2, 3], [4, 5, 6]])

# Print the array tensor
print(array_tensor)


This will output:

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tf.Tensor(
[[1 2 3]
 [4 5 6]], shape=(2, 3), dtype=int32)


You can also generate an array tensor with random values using tf.random.uniform() or tf.random.normal() functions. Here's an example of how to generate a 3D array tensor with random values:

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import tensorflow as tf

# Create a 3D array tensor with random values
array_tensor = tf.random.uniform([3, 4, 5])

# Print the array tensor
print(array_tensor)


This will output a 3D array tensor with random values.


You can also use other functions in TensorFlow to generate array tensors with specific values or patterns. Explore the TensorFlow documentation for more information on creating array tensors with different functions and values.