Neural Networks
Learn how perceptrons function as building blocks of neural networks, including weight learning and limitations like the XOR problem. Understand logistic activation and classification challenges in this foundational deep learning lesson.
We'll cover the following...
We'll cover the following...
Perceptrons
We already looked at the general architecture of Neural Networks in the last lesson. Let’s discuss how a neuron works and how a node in a Neural Network is inspired by the working of neurons in the brain. Rosenblatt proposed the model of a simple perceptron in 1957, which serves as the building blocks of today’s Artificial Neural Networks (ANNs).
In the above diagram we have an Input Layer which consists of features. Weights ...