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  2. Batch normalization - Wikipedia

    en.wikipedia.org/wiki/Batch_normalization

    In a neural network, batch normalization is achieved through a normalization step that fixes the means and variances of each layer's inputs. Ideally, the normalization would be conducted over the entire training set, but to use this step jointly with stochastic optimization methods, it is impractical to use the global information.

  3. Normalization (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Normalization_(machine...

    Instance normalization (InstanceNorm), or contrast normalization, is a technique first developed for neural style transfer, and is also only used for CNNs. [26] It can be understood as the LayerNorm for CNN applied once per channel, or equivalently, as group normalization where each group consists of a single channel:

  4. Neural network Gaussian process - Wikipedia

    en.wikipedia.org/wiki/Neural_network_Gaussian...

    This in particular includes all feedforward or recurrent neural networks composed of multilayer perceptron, recurrent neural networks (e.g., LSTMs, GRUs), (nD or graph) convolution, pooling, skip connection, attention, batch normalization, and/or layer normalization.

  5. Data cleansing - Wikipedia

    en.wikipedia.org/wiki/Data_cleansing

    Data cleansing may also involve harmonization (or normalization) of data, which is the process of bringing together data of "varying file formats, naming conventions, and columns", [2] and transforming it into one cohesive data set; a simple example is the expansion of abbreviations ("st, rd, etc." to "street, road, etcetera").

  6. Recursive least squares filter - Wikipedia

    en.wikipedia.org/wiki/Recursive_least_squares_filter

    The smaller is, the smaller is the contribution of previous samples to the covariance matrix. This makes the filter more sensitive to recent samples, which means more fluctuations in the filter co-efficients.

  7. Download, install, or uninstall AOL Desktop Gold

    help.aol.com/articles/aol-desktop-downloading...

    Click the Downloads folder. 3. Double click the Install_AOL_Desktop icon. 4. Click Run. 5. Click Install Now. 6. Restart your computer to finish the installation.

  8. Feature scaling - Wikipedia

    en.wikipedia.org/wiki/Feature_scaling

    Without normalization, the clusters were arranged along the x-axis, since it is the axis with most of variation. After normalization, the clusters are recovered as expected. In machine learning, we can handle various types of data, e.g. audio signals and pixel values for image data, and this data can include multiple dimensions. Feature ...

  9. 3 Artificial Intelligence (AI) Stocks I'm Loading Up On in 2025

    www.aol.com/3-artificial-intelligence-ai-stocks...

    Rather than focusing on quarterly earnings beats or temporary market sentiment, my investment strategy centers on identifying companies that can compound value over many years or even decades. The ...