Splash Biography

Neural Networks (NN) have taken the world by storm and have been applied in almost any field to tackle difficult machine learning problems, such as language translation and protein modeling. Work on these models began in the 1960s but really took off in 2010s due to the powerful graphical processing units (GPUs) originally designed for gaming. Even though there are many complicated approaches, the basic neural network requires only addition, multiplication, and a non-linear function. In this class, we'll cover the basics of supervised machine learning, structure of basic networks, and what makes neural networks so powerful when applied to real-world problems. In this class, we hope to provide a basic introduction to NNs that is accessible to anyone interested, even those new to programming.