Describe a neural network : Theory Behind ANN (Artificial Neural Network) and DNN (Deep Neural Networks)

The video tutorial introduces artificial and deep neural networks, explaining their biological basis and machine learning implementations. It covers the backpropagation algorithm for training neural networks and introduces common algorithms like perceptrons and multilayer perceptrons. The tutorial concludes with a brief overview of deep neural networks and future learning topics.

What are the biological components that form the basis of artificial neural networks?

Explain the process of information transfer in a neuron.

What role do activation functions play in neural networks?

What is the backpropagation algorithm and how does it function?

Describe the structure of a multilayer feedforward neural network.

What are the differences between perceptrons and multilayer perceptrons?

How do deep neural networks differ from basic neural networks?