Explain about neural network architecture in soft computing
Answers
Neural networks are a class of models within the general machine learning literature. So for example, if you took a Coursera course on machine learning, neural networks will likely be covered. Neural networks are a specific set of algorithms that has revolutionized the field of machine learning. They are inspired by biological neural networks and the current so called deep neural networks have proven to work quite very well. Neural Networks are themselves general function approximations, that is why they can be applied to literally almost any machine learning problem where the problem is about learning a complex mapping from the input to the output space.
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Answer:
The Neural Network architecture is made of individual units called neurons that mimic the biological behavior of the brain. Here are the various components of a neuron. Neuron in Artificial Neural Network. Input - It is the set of features that are fed into the model for the learning process.