My blog
-
Neural Networs: the fundamental component of modern AI
Neural networks are at the core of modern artificial intelligence, powering everything from image recognition and natural language processing to medical diagnostics and self-driving cars. While they may seem complex due to their mathematical foundations, they rely on fundamental calculus concepts that even someone with a high school diploma can…
-
Understanding Neural Networks: A Deep Dive into Backpropagation
Backpropagation is a crucial algorithm used in neural network training. It involves calculating the error at the output layer and then propagating that error backward through the network to adjust the weights of the neurons in each layer. Afterward, an optimization algorithm, typically gradient descent, uses this error to update…
-
Optimization: Gradient Descent
Gradient descent is one of the most used algorithms to optimize a function. Optimizing a function means finding the hyperparameter values for that function that give us the best possible outcome. Gradient descent has broad applications, but in this text, we will focus on its use in Machine Learning to…