Is it finetune or fine-tune?

verb (used with object), fine-tuned, fine-tun·ing. to tune (a radio or television receiver) to produce the optimum reception for the desired station or channel by adjusting a control knob or bar.

What is a word for fine-tune?

In this page you can discover 12 synonyms, antonyms, idiomatic expressions, and related words for fine-tune, like: refine, tweak, down, graduate, polish, calibrate, , humbucker, bascule, fine-tuned and customize.

What is fine-tuning mean?

transitive verb. 1a : to adjust precisely so as to bring to the highest level of performance or effectiveness fine-tune a TV set fine-tune the format. b : to improve through minor alteration or revision fine-tune the temperature of the room.

What is fine-tuning in philosophy?

The term “fine-tuning” is used to characterize sensitive dependences of facts or properties on the values of certain parameters. Technological devices are paradigmatic examples of fine-tuning.

What is Bert fine tuning?

“BERT stands for Bidirectional Encoder Representations from Transformers. As a result, the pre-trained BERT model can be fine-tuned with just one additional output layer to create state-of-the-art models for a wide range of NLP tasks.” That sounds way too complex as a starting point.

What is fine tuning in deep learning?

Fine-tuning, in general, means making small adjustments to a process to achieve the desired output or performance. Fine-tuning deep learning involves using weights of a previous deep learning algorithm for programming another similar deep learning process.

What is the opposite of fine tune?

Opposite of improve or cause to improve. worsen. regress. decline. retrograde.

How do you use fine tune in a sentence?

He was compelled to wait, fine-tuning the elements in his contingency plan, in the sure knowledge that he would have the last word. Didn’t need anything except a bit of fine-tuning…

Is fine-tuning necessary?

Why fine-tuning deep learning model is necessary Whenever we are given the task of training a deep learning neural network, we usually think of training it from scratch. With fine-tuning, most of the missing data can be incorporated from previous models, making the training process much easier.

What is Bert fine-tuning?

What is model fine-tuning?

Fine-tuning is a way of applying or utilizing transfer learning. Specifically, fine-tuning is a process that takes a model that has already been trained for one given task and then tunes or tweaks the model to make it perform a second similar task.

Why do we fine tune a BERT?

“BERT stands for Bidirectional Encoder Representations from Transformers. As a result, the pre-trained BERT model can be fine-tuned with just one additional output layer to create state-of-the-art models for a wide range of NLP tasks.”

What does “fine tuning” mean?

“Fine tuning” is an English idiom which describes the process of making relatively small adjustments to get the optimum performance out of something. In its literal sense, it can refer to a television or a radio that needs to be precisely tuned for maximum effect.

What does fine-tune mean?

Definition of fine-tune. transitive verb. 1a : to adjust precisely so as to bring to the highest level of performance or effectiveness fine-tune a TV set fine-tune the format. b : to improve through minor alteration or revision fine-tune the temperature of the room.

What is a synonym for fine tune?

Synonyms: fine-tune, calibrate, graduate. Definition: make fine adjustments or divide into marked intervals for optimal measuring.

What is the fine tune function?

The fine-tune function is a facility tool to allow the user to fine-tune the matrix until all required targets are met. This tuning function can shift the operation frequency up or down while expanding or narrowing the bandwidth by scaling the matrix. Within the tuning process, the designed centre frequency and bandwidth can be kept.