Transfer Learning in Deep Learning [Comprehensive Guide]

Transfer Learning in Deep Learning [Comprehensive Guide]

Introduction .What is Deep Learning? It is a branch of Machine Learning which uses a simulation of the human brain which are known as neural networks. These neural networks are made up of neurons that are similar to the fundamental unit of the human brain.

*Introduction *

What is Deep Learning? It is a branch of Machine Learning which uses a simulation of the human brain which are known as neural networks. These neural networks are made up of neurons that are similar to the fundamental unit of the human brain.

The neurons make up a neural network model and this field of study altogether is named as deep learning. The end result of a neural network is called a deep learning model. Mostly, in deep learning, unstructured data is used from which the deep learning model extracts features on its own by repeated training on the data.

Such models that are designed for one particular set of data when available for use as the starting point for developing another model with a different set of data and features, is known as Transfer Learning. In simple terms, Transfer Learning is a popular method where one model developed for a particular task is again used as the starting point to develop a model for another task.

*Transfer Learning *

Transfer Learning has been utilized by humans since time immemorial. Though this field of transfer learning is relatively new to machine learning, humans have used this inherently in almost every situation.

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