How does the batch size parameter affect the training process in a neural network?
Tuesday, 08 August 2023 by EITCA Academy
The batch size parameter plays a important role in the training process of a neural network. It determines the number of training examples utilized in each iteration of the optimization algorithm. The choice of an appropriate batch size is important as it can significantly impact the efficiency and effectiveness of the training process. When training
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
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