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In May 2016, Google announced its Tensor processing unit (TPU), an application-specific integrated circuit (ASIC, a hardware chip) built specifically for machine learning and tailored for TensorFlow. A TPU is a programmable AI accelerator designed to provide high throughput of low-precision arithmetic (e.g., 8-bit ), and oriented toward using ...
The code is hosted on GitHub, and community support forums include the GitHub issues page, and a Slack channel. [citation needed] In addition to standard neural networks, Keras has support for convolutional and recurrent neural networks. It supports other common utility layers like dropout, batch normalization, and pooling. [12]
The concept of code blocks it implements is based on MIT's Scratch visual language (listed above). It also permits the use of normal typed code (separate or intermingled) through its own API and the Haxe language. ToonTalk is a language and environment that looks like a video game. Computational abstractions are mapped to concrete analogs such ...
In machine learning, the term tensor informally refers to two different concepts (i) a way of organizing data and (ii) a multilinear (tensor) transformation. Data may be organized in a multidimensional array (M-way array), informally referred to as a "data tensor"; however, in the strict mathematical sense, a tensor is a multilinear mapping over a set of domain vector spaces to a range vector ...
Kojo is a programming language and integrated development environment (IDE) for computer programming and learning. It has many different features that enable playing, exploring, creating, and learning in the areas of computer programming, mental skills, (interactive) math, graphics, art, music, science, animation, games, and electronics.
The data flow is controlled by a control system which is exchangeable as well as the adaptation algorithms. The other important feature is deployment capabilities. With the advent of component-based frameworks such as .NET and Java , component based development environments are capable of deploying the developed neural network to these ...
Data flow has been proposed [by whom?] as an abstraction for specifying the global behavior of distributed system components: in the live distributed objects programming model, distributed data flows are used to store and communicate state, and as such, they play the role analogous to variables, fields, and parameters in Java-like programming ...
Flow-based programming defines applications using the metaphor of a "data factory". It views an application not as a single, sequential process, which starts at a point in time, and then does one thing at a time until it is finished, but as a network of asynchronous processes communicating by means of streams of structured data chunks, called "information packets" (IPs).