Computation in Neural Networks

Explore the fundamentals of Multilayer Perceptrons in this 23-minute video lecture. Delve into the core components of neural networks, including weights, neurons, layers, and activations. Gain insights into how Multilayer Perceptrons process signals in a distributed manner. Learn about artificial neurons, the necessity of neural networks, and the structure of artificial neural networks (ANNs). Understand the concept of net input, activation functions, and computation in 3D layers. Follow along with sample computations and grasp key takeaway points to enhance your understanding of neural network computation.

Intro
The artificial neuron
Why is a neural network needed?
The components of an artificial neural network (ANN)
The multilayer perceptron (MLP)
Weights
Net input
Activation
Computation in MLP (3d layer)
Sample computation
Takeaway points
What's up next?