What is Bias-Variance Tradeoff? The bias-variance tradeoff is a key machine-learning concept that describes model bias and variance. The difference between a model’s predictions and the target variable’s true value is bias. Variance measures a model’s forecast variation across data samples. High-bias models make systematic errors, while high-variance models make random errors. Models with low bias possess high variance … Read more
When using an SGD optimizer, if you set the momentum hyperparameter too near to one (e.g., 0.99999), the algorithm may fluctuate around the optimal result. This is because the momentum term will lead the algorithm to continue moving in the same direction even though it is no longer moving towards its optimal result. This can … Read more
What is Backpropagation Algorithm? Backpropagation Algorithm is a machine learning technique that is used to train artificial neural networks. It is a gradient-based optimisation approach that computes the gradient of the loss function in relation to the parameters of the model. The gradient is then used to update the parameters of the model in the … Read more