Finetuning means taking weights of a trained neural network and use it as initialization for a new model being trained on data from the same ... ... <看更多>

If the data used to fine - tune the model differs from the data used to pre-train the model, fine - tuning is transfer learning. ... <看更多>

First, why do we fine-tune Models? When we are given a Deep Learning task, say, one that involves training a Convolutional Neural Network ( ... ... <看更多>

An all-in-one Deep Learning toolkit for image classification to fine-tuning pretrained models using MXNet. machine-learning deep-neural-networks ... ... <看更多>

It appears to me that few-shot learning is a specialization of fine-tuning. What am I missing here? Can anyone please help me? machine-learning ... ... <看更多>