machine learning Hyper Parameter Tuning Hyperparameter tuning is one of the features that come to the fore to conquer the battle of maximizing the performance of the model or maximizing the model's predictive accuracy.
machine learning Importance of Loss Function in Machine Learning A loss function is a measure of how good your prediction model does in terms of being able to predict the expected outcome(or value).
machine learning Understand Learning Rate by a Child's interaction with Dogs Learning rate (λ) is one such hyperparameter that defines the adjustment in the weights of our network with respect to the loss gradient descent. It determines how fast or slow we will move towards the optimal weights
