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Keras is an open-source library that provides a Python interface for artificial neural networks. Keras was first independent software, then integrated into the TensorFlow library , and later supporting more.
Concurrent and parallel programming languages involve multiple timelines. Such languages provide synchronization constructs whose behavior is defined by a parallel execution model. A concurrent programming language is defined as one which uses the concept of simultaneously executing processes or threads of execution as a means of structuring a ...
Haskell is a purely functional programming language. Lazy evaluation and the list and LogicT monads make it easy to express non-deterministic algorithms, which is often the case. Infinite data structures are useful for search trees. The language's features enable a compositional way to express algorithms.
Wolfram Language: No No Static Yes Yes Yes No Yes 1988 Kotlin: No Lazy delegation [78] and Sequence [79] Static Yes No Yes No Yes 2011 Swift: No No Static Yes Yes Yes No Swift uses Automatic Reference Counting, which differs from tracing garbage collection but is designed to provide similar benefits with better performance. 2014 Julia: No No ...
In functional programming languages, and many others, it provides a way of automatically managing how arguments are passed to functions and exceptions. In theoretical computer science , it provides a way to study functions with multiple arguments in simpler theoretical models which provide only one argument.
Dataflow programming languages share some features of functional languages, and were generally developed in order to bring some functional concepts to a language more suitable for numeric processing. Some authors use the term datastream instead of dataflow to avoid confusion with dataflow computing or dataflow architecture , based on an ...
Functional and logic compilers often use CPS as an intermediate representation where a compiler for an imperative or procedural programming language would use static single assignment form (SSA). [4] SSA is formally equivalent to a subset of CPS (excluding non-local control flow, which does not occur when CPS is used as intermediate ...
In both eager and graph executions, TensorFlow provides an API for distributing computation across multiple devices with various distribution strategies. [36] This distributed computing can often speed up the execution of training and evaluating of TensorFlow models and is a common practice in the field of AI.