A company is planning to use Generative Al.
What is one of the do's for using Generative Al?
Feature-based transfer learning involves leveraging certain features learned by a pre-trained model and adapting them to a new task. Here's a detailed explanation:
Feature Selection: This process involves identifying and selecting specific features or layers from a pre-trained model that are relevant to the new task while discarding others that are not.
Adaptation: The selected features are then fine-tuned or re-trained on the new dataset, allowing the model to adapt to the new task with improved performance.
Efficiency: This approach is computationally efficient because it reuses existing features, reducing the amount of data and time needed for training compared to starting from scratch.
Pan, S. J., & Yang, Q. (2010). A Survey on Transfer Learning. IEEE Transactions on Knowledge and Data Engineering, 22(10), 1345-1359.
Yosinski, J., Clune, J., Bengio, Y., & Lipson, H. (2014). How Transferable Are Features in Deep Neural Networks? In Advances in Neural Information Processing Systems.
Willis
4 months agoVictor
4 months agoJamal
5 months agoErin
5 months agoEzekiel
5 months agoGlenna
5 months agoAngella
6 months agoMarshall
6 months agoAliza
6 months agoTandra
6 months agoAugustine
6 months agoEvelynn
6 months agoGolda
6 months agoLili
6 months agoFreeman
6 months agoParis
6 months agoGwenn
6 months agoSharee
6 months agoGolda
11 months agoLucia
9 months agoLouisa
10 months agoAdelina
10 months agoDonette
10 months agoAileen
10 months agoBonita
10 months agoEmile
11 months agoLorrie
11 months agoMelodie
10 months agoAja
10 months agoJodi
10 months agoGlen
11 months agoOrville
10 months agoRefugia
10 months agoChanel
11 months agoCristy
12 months agoElmira
10 months agoCletus
10 months agoStephane
11 months agoRoxane
1 year agoAn
1 year agoMicah
1 year agoDean
1 year agoLynette
1 year agoStefan
1 year agoAgustin
1 year agoAntonio
1 year agoVivan
1 year agoKelvin
12 months agoKrystina
12 months agoLayla
12 months ago