How does TensorFlow optimize the parameters of a model to minimize the difference between predictions and actual data?
Saturday, 05 August 2023
by EITCA Academy
TensorFlow is a powerful open-source machine learning framework that offers a variety of optimization algorithms to minimize the difference between predictions and actual data. The process of optimizing the parameters of a model in TensorFlow involves several key steps, such as defining a loss function, selecting an optimizer, initializing variables, and performing iterative updates. Firstly,

