Hi, I'm Oluwatobi and I'm a machine learning researcher. I write about Machine learning (obviously), programming techniques, and any topic in relation to the previously stated areas.
I'm a perfectionist and I try to finesse every task I take on but I've come to realise it's quite unproductive, so I've learned to deliver a minimum viable product in situations where I can't exhibit perfectionism.
Although I work with Python extensively, I love Julia lang and hope to use it primarily someday.
Machine learning roles
Nov 9, 2021 · 3 min read · Introduction The logistic sigmoid is one of the most popular activation functions used when working with the probability distributions associated with deep learning. It is a function that produces the \(\phi\) parameter of a Bernoulli distribution du...
AAyoyinka commented
Sep 17, 2021 · 5 min read · Introduction The rectified linear unit function, ReLU, is one of the three most commonly used activation functions used in deep learning, including the sigmoid (sig) and hyperbolic tangent (tan) functions. It is a type of ramp function that is somewh...
SSoumendra commented
Sep 12, 2021 · 3 min read · Introduction The softmax function is a generalization of the logistic function to multiple dimensions. It is often used as the last activation function of a neural network to normalize the output of a network and predict the probabilities associated ...
AAkash commented