In TensorFlow, when defining a placeholder for a tensor, should one use a placeholder function with one of the parameters specifying the shape of the tensor, which, however, does not need to be set?
Friday, 09 August 2024 by Tomasz Ciołak
In TensorFlow, placeholders were a fundamental concept used in TensorFlow 1.x for feeding external data into a computational graph. With the advent of TensorFlow 2.x, the use of placeholders has been deprecated in favor of the more intuitive and flexible `tf.data` API and eager execution, which allows for more dynamic and interactive model development. However,
- Published in Artificial Intelligence, EITC/AI/DLTF Deep Learning with TensorFlow, TensorFlow, TensorFlow basics
Tagged under: Artificial Intelligence, Data Pipelines, Placeholders, TensorFlow, TensorFlow 1.x, TensorFlow 2.x
How do you use the TF upgrade V2 tool to convert TensorFlow 1.12 scripts to TensorFlow 2.0 preview scripts?
Saturday, 05 August 2023 by EITCA Academy
To convert TensorFlow 1.12 scripts to TensorFlow 2.0 preview scripts, you can use the TF Upgrade V2 tool. This tool is designed to automate the process of upgrading TensorFlow 1.x code to TensorFlow 2.0, making it easier for developers to transition their existing codebases. The TF Upgrade V2 tool provides a command-line interface that allows