Pioneering AI: Artificial Neural Networks Unveiled

By:- Karam

14 June 2023

1. ANNs are designed after biological neural networks.

2. They're made up of interconnected nodes or 'neurons'.

3. ANNs have three types - input, hidden, and output layers.

4. Weights adjust based on differences between actual and predicted output.

5. This learning method minimizes error to fine-tune weights.

6. Deep Learning uses ANNs with multiple hidden layers for complex tasks.

7. The most basic ANN, it's a single-layer binary classifier.

8. Activation functions decide if a neuron should be activated.

9. From image recognition to self-driving cars, the use cases are vast.

10. They require massive datasets and computational power to function optimally.