Model Tuning


Model tuning is the process of adjusting the hyperparameters of a machine learning model to optimize its performance on a given task. Hyperparameters are parameters that are not learned from data, but rather set by the user before training the model. Examples of hyperparameters include learning rate, regularization strength, and number of hidden layers in a neural network. Model tuning involves selecting the best combination of hyperparameters that results in the highest accuracy or lowest error rate on a validation set. This process can be done manually by trying different combinations of hyperparameters, or automatically using techniques such as grid search, random search, or Bayesian optimization.


Your Previous Searches
Random Picks

  • Information Theory: Information Theory is a branch of applied mathematics and electrical engineering that studies the quantification, storage, and communication of information. It provides a mathematical framework for analyzing systems that transmit, process, ... Read More >>
  • Transcription: Unsupervised learning is a type of machine learning where the model is trained on a dataset without any predefined labels or target variables. The goal of unsupervised learning is to identify patterns and relationships within the data, and ... Read More >>
  • Data Filtering: Data filtering is the process of selecting and retrieving a subset of data from a larger dataset based on specific criteria. This technique is commonly used in data science to extract relevant information from large and complex datasets. Da ... Read More >>
Top News

Uber CEO Dara Khosrowshahi calls Elon Musk's vision for Tesla robotaxis 'pretty ...

Uber CEO Dara Khosrowshahi appeared on Friday's episode of the Hard Fork podcast, where he spoke about the future of the autonomous vehicle industry....

News Source: Business Insider on 2024-10-20

After Cynthia Erivo Called "Wicked" Fan Art "Offensive," Ariana Grande Has Offer...

"It's so much bigger than us."View Entire Post ›...

News Source: Buzzfeed on 2024-10-20

Google Research execs reveal how they use AI in their daily lives — and where ...

Google execs on the Research team told Business Insider their favorite uses of AI, like looking up products with Lens or translating pages....

News Source: Business Insider on 2024-10-20

Google DeepMind CEO Demis Hassabis explains what needs to happen to move from ch...

Demis Hassabis, the CEO of Google DeepMind, recently discussed what he thinks will be the next phase of AI after chatbots....

News Source: Business Insider on 2024-10-19

This is OpenAI CEO Sam Altman's favorite question about AGI...

Altman said artificial general intelligence will facilitate "scaffolding that exists between all of us."...

News Source: Business Insider on 2024-10-19