An Artificial Neural Network (ANN) is modeled on the brain where neurons are connected in complex patterns to process data from the senses, establish memories and control the body. Learn about ANN, a deep learning method that mimics the human brain to model complex patterns and forecast issues. Explore the architecture, types, benefits, applications, and disadvantages of ANN, and build a simple ANN model using Python and Keras. Let's build an ANN from scratch using Python and NumPy without relying on deep learning libraries such as TensorFlow or PyTorch. This approach will help in better understanding of the workings of neural networks. Tutorial for Methods In Neuroscience at Dartmouth (MIND) 2023 By Mark A. Thornton This tutorial offers an introduction to programming your own customized artificial neural network (ANN) for the first time. It is based on the popular ANN programming framework PyTorch. You will build up an ANN to perform regression, starting from a very simple network and working up step-by-step to a more complex one. This notebook focuses on the implementation of ANNs. If you're interested in a complementary ...
