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  2. Normalization (machine learning) - Wikipedia

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

    Weight normalization (WeightNorm) [18] is a technique inspired by BatchNorm that normalizes weight matrices in a neural network, rather than its activations. One example is spectral normalization , which divides weight matrices by their spectral norm .

  3. 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.

  4. Modeling and simulation of batch distillation unit - Wikipedia

    en.wikipedia.org/wiki/Modeling_and_simulation_of...

    Components of the system and connections are represented as a process flow diagram. [5] A flow diagram for the ammonia process (Finlayson, 2006) is shown in figure 1 below using aspen plus software. The most important result of developing of mathematical model of chemical engineering system is the understanding that is gained what really make ...

  5. Operating system - Wikipedia

    en.wikipedia.org/wiki/Operating_system

    The operating system provides an interface between an application program and the computer hardware, so that an application program can interact with the hardware only by obeying rules and procedures programmed into the operating system. The operating system is also a set of services which simplify development and execution of application programs.

  6. Flowchart - Wikipedia

    en.wikipedia.org/wiki/Flowchart

    A simple flowchart representing a process for dealing with a non-functioning lamp.. A flowchart is a type of diagram that represents a workflow or process.A flowchart can also be defined as a diagrammatic representation of an algorithm, a step-by-step approach to solving a task.

  7. Flow-based generative model - Wikipedia

    en.wikipedia.org/wiki/Flow-based_generative_model

    A flow-based generative model is a generative model used in machine learning that explicitly models a probability distribution by leveraging normalizing flow, [1] [2] [3] which is a statistical method using the change-of-variable law of probabilities to transform a simple distribution into a complex one.

  8. Functional flow block diagram - Wikipedia

    en.wikipedia.org/wiki/Functional_flow_block_diagram

    Figure 1: Functional flow block diagram format. [1] A functional flow block diagram (FFBD) is a multi-tier, time-sequenced, step-by-step flow diagram of a system's functional flow. [2] The term "functional" in this context is different from its use in functional programming or in mathematics, where pairing "functional" with "flow" would be ...

  9. Batch processing - Wikipedia

    en.wikipedia.org/wiki/Batch_processing

    A batch window is "a period of less-intensive online activity", [11] when the computer system is able to run batch jobs without interference from, or with, interactive online systems. A bank's end-of-day (EOD) jobs require the concept of cutover , where transaction and data are cut off for a particular day's batch activity ("deposits after 3 PM ...