Introduction to Neural Networks and Deep Learning 15.773: Hands-on Deep Learning Spring 2024

Neural Network Lore Neural nets have been adopted with an almost religious fervor within the AI community – several times First coming: Perceptron Second coming: Multilayer networks Third …

Neural Network Mimics the functionality of a brain. A neural network is a graph with neurons (nodes, units etc.) connected by links.

Example of three-layered feedforward neural network yered NN as shown in Fig. 2.10. Here, we try to find the outputs of this NN with four input signals, five hidden layers and two output-l yers …

Though dropout training was introduced in the context of neural networks, it can be applies to all learning algorithms; rather than changing the architecture of the network, dropout can be …

Multi-layer perceptrons To make nonlinear classifiers out of perceptrons, build a multi-layer neural network! This requires each perceptron to have a nonlinearity

1.1 Overview k that forms a useful background to this paper. Topics we touch on include mechanistic interpretability, structure in neural networks, adversarial examples, other frames …