Fine-tuning in its literal meaning refers to the practices aimed at increasing the accuracy of a model. In Deep Learning, Fine-tuning is a process of transferring the algorithms of a complete model or weights of the layers to initialize a new model that is similar to the previous model. And this process is performed for speeding up the training process and also to overcome the small dataset size.
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Also, check Deep Learning using TensorFlow in Python YouTube video to gain more insights.