How can the accuracy of a trained model be evaluated using the testing dataset in TensorFlow?
Tuesday, 08 August 2023
by EITCA Academy
To evaluate the accuracy of a trained model using the testing dataset in TensorFlow, several steps need to be followed. This process involves loading the trained model, preparing the testing data, and calculating the accuracy metric. Firstly, the trained model needs to be loaded into the TensorFlow environment. This can be done by using the
- Published in Artificial Intelligence, EITC/AI/DLTF Deep Learning with TensorFlow, TensorFlow, Training and testing on data, Examination review
Tagged under:
Accuracy Metric, Artificial Intelligence, Evaluate() Method, Model Evaluation, TensorFlow, Testing Dataset