Python for Deep Learning - Build Neural Networks in Python - How do Artificial Neural Networks Work?

The video tutorial reviews neural networks, explaining their structure with input and output layers. It contrasts machine learning models, which lack hidden layers, with deep learning models that include them for improved accuracy. An example of calculating house prices is used to illustrate these concepts. The tutorial also details the workflow of an artificial neural network, highlighting the role of activation functions and the importance of hidden layers in enhancing model performance.

Explain the significance of fine-tuning the number of hidden layers in a neural network.

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What is the role of the activation function in a neural network?

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