A Lowdown On Alternatives To Gradient  Descent Optimization Algorithms 

Gradient Descent is the most common optimisation strategy used in machine learning frameworks. It is an iterative algorithm used to minimise a function to its local or global minima. In simple words, Gradient Descent iterates overs a function, adjusting it’s…

Why Learning Rate Is Crucial In Deep Learning

A key balancing act in machine learning is choosing an appropriate level of model complexity: if the model is too complex, it will fit the data used to construct the model very well but generalise poorly to unseen data (overfitting);…

More than 1,00,000 people are subscribed to our newsletter

Subscribe now to receive in-depth stories on AI & Machine Learning.