What is neutral network? Explain back propagation. Explain difference in CNN and RNN Live coding questions were also asked

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Neural network is a computational model inspired by the way the human brain works, used for machine learning tasks.

Neural network is a series of algorithms that attempts to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates.
Backpropagation is a technique used to train neural networks by updating the weights of the network to minimize the difference between the predicted output and the actual output.
CNN (Convolutional Neural Network) is primarily used for image recognition tasks, where it applies filters to input data to extract features.
RNN (Recurrent Neural Network) is designed to handle sequential data and has memory to remember past inputs, making it suitable for tasks like language translation or speech recognition.

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