Web Reference: When building a machine learning model it is often convenient to distinguish between variables holding trainable model parameters and other variables such as a step variable used to count training steps. To make this easier, the variable constructor supports a trainable= parameter. tf.GradientTape watches trainable variables by default: Aug 15, 2024 · A TensorFlow variable is the recommended way to represent shared, persistent state your program manipulates. This guide covers how to create, update, and manage instances of tf.Variable in TensorFlow. Variables are created and tracked via the tf.Variable class. A tf.Variable represents a tensor whose value can be changed by running ops on it. Use tf to create real-valued or complex-valued transfer function models, or to convert dynamic system models to transfer function form.
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