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Keras contains numerous implementations of commonly used neural-network building blocks such as layers, objectives, activation functions, optimizers, and a host of tools for working with image and text data to simplify programming in deep neural network area. [11]
A skip list is built in layers. The bottom layer 1 {\displaystyle 1} is an ordinary ordered linked list . Each higher layer acts as an "express lane" for the lists below, where an element in layer i {\displaystyle i} appears in layer i + 1 {\displaystyle i+1} with some fixed probability p {\displaystyle p} (two commonly used values for p ...
In object-oriented programming, a class defines the shared aspects of objects created from the class. The capabilities of a class differ between programming languages, but generally the shared aspects consist of state and behavior that are each either associated with a particular object or with all objects of that class.
It is used for general conceptual modeling of the structure of the application, and for detailed modeling, translating the models into programming code. Class diagrams can also be used for data modeling. [2] The classes in a class diagram represent both the main elements, interactions in the application, and the classes to be programmed.
In the above UML class diagram, the Creator class that requires a Product object does not instantiate the Product1 class directly. Instead, the Creator refers to a separate factoryMethod() to create a product object, which makes the Creator independent of the exact concrete class that is instantiated.
This is a list of well-known data structures. For a wider list of terms, see list of terms relating to algorithms and data structures. For a comparison of running times for a subset of this list see comparison of data structures.
The Recurrent layer is used for text processing with a memory function. Similar to the Convolutional layer, the output of recurrent layers are usually fed into a fully-connected layer for further processing. See also: RNN model. [6] [7] [8] The Normalization layer adjusts the output data from previous layers to achieve a regular distribution ...
The PHP Group: PHP License: Enables usage of PHP within Apache mod_psgi: Version 2.2 and newer: Apache License, Version 2.0: Implements the PSGI specification within Apache mod_python: Version 2.0 and newer: Third-party module: Gregory Trubetskoy et al. Apache License, Version 2.0: Allows usage of Python within Apache [104] mod_proxy: Version 1 ...