Neural Network, Recurrent Neural Network, Backpropagation Algorithm, Vanishing Gradient Problem.

Machine intelligence is referred to as “artificial intelligence.” In other words, it is the study of a device’s ability to comprehend external data, learn from it, and use it to accomplish its objectives.

Machine learning is a subset of AI in which machines learn to fulfill tasks without being explicitly instructed to do so. The difference between traditional programming and machine learning is that with traditional programming, you give the machine an input and a set of rules, and the machine gives you an output.

Deep Learning is a subset of Machine Learning that deals with Neural Networks, which are algorithms inspired by the structure and function of the brain. In terms of writing, we can consider the following: If ten people wrote the same word in different ways, the result would be significantly varied, ranging from cursive to print, sloppy to immaculate. The human brain understands that everything is the same, but how would a typical computer system know? To put it another way, how might we make a machine think like a human brain? This brings us to the topic of Neural Networks.

What are Neural Networks?

A neural network is made up of layers, each of which is a collection of neurons connected by…