The components of an artificial neural network (ANN)
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The multilayer perceptron (MLP)
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Weights
7
Net input
8
Activation
9
Computation in MLP (3d layer)
10
Sample computation
11
Takeaway points
12
What's up next?
Description:
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.