Is it correct to call a process of updating w and b parameters a training step of machine learning?
Tuesday, 14 November 2023 by Hema Gunasekaran
A training step in the context of machine learning refers to the process of updating the parameters, specifically the weights (w) and biases (b), of a model during the training phase. These parameters are important as they determine the behavior and effectiveness of the model in making predictions. Therefore, it is indeed correct to state
What are some hyperparameters that we can experiment with to achieve higher accuracy in our model?
Wednesday, 02 August 2023 by EITCA Academy
To achieve higher accuracy in our machine learning model, there are several hyperparameters that we can experiment with. Hyperparameters are adjustable parameters that are set before the learning process begins. They control the behavior of the learning algorithm and have a significant impact on the performance of the model. One important hyperparameter to consider is