enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Loss functions for classification - Wikipedia

    en.wikipedia.org/wiki/Loss_functions_for...

    The theory makes it clear that when a learning rate of is used, the correct formula for retrieving the posterior probability is now = (()). In conclusion, by choosing a loss function with larger margin (smaller γ {\displaystyle \gamma } ) we increase regularization and improve our estimates of the posterior probability which in turn improves ...

  3. Sentence embedding - Wikipedia

    en.wikipedia.org/wiki/Sentence_embedding

    BERT pioneered an approach involving the use of a dedicated [CLS] token prepended to the beginning of each sentence inputted into the model; the final hidden state vector of this token encodes information about the sentence and can be fine-tuned for use in sentence classification tasks. In practice however, BERT's sentence embedding with the ...

  4. Least mean squares filter - Wikipedia

    en.wikipedia.org/wiki/Least_mean_squares_filter

    For most systems the expectation function {() ()} must be approximated. This can be done with the following unbiased estimator ^ {() ()} = = () where indicates the number of samples we use for that estimate.

  5. BERT (language model) - Wikipedia

    en.wikipedia.org/wiki/BERT_(language_model)

    The first span starts with a special token [CLS] (for "classify"). The two spans are separated by a special token [SEP] (for "separate"). After processing the two spans, the 1-st output vector (the vector coding for [CLS]) is passed to a separate neural network for the binary classification into [IsNext] and [NotNext].

  6. ML (programming language) - Wikipedia

    en.wikipedia.org/wiki/ML_(programming_language)

    ML (Meta Language) is a general-purpose, high-level, functional programming language.It is known for its use of the polymorphic Hindley–Milner type system, which automatically assigns the data types of most expressions without requiring explicit type annotations (type inference), and ensures type safety; there is a formal proof that a well-typed ML program does not cause runtime type errors. [1]

  7. 10 Best Part-Time Flexible Jobs for Seniors That Will ... - AOL

    www.aol.com/10-best-part-time-flexible-200000308...

    This can include tutoring in specific subjects, teaching English as a second language, or providing test-preparation services. These jobs typically offer flexible hours and remote working options ...

  8. scikit-learn - Wikipedia

    en.wikipedia.org/wiki/Scikit-learn

    scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...

  9. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation. As language models , LLMs acquire these abilities by learning statistical relationships from vast amounts of text during a self-supervised and semi-supervised training process.