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For example, TensorFlow Recommenders and TensorFlow Graphics are libraries for their respective functionalities in recommendation systems and graphics, TensorFlow Federated provides a framework for decentralized data, and TensorFlow Cloud allows users to directly interact with Google Cloud to integrate their local code to Google Cloud. [68]
Linux, macOS, Windows: Python: Python: Only on Linux No Yes No Yes Yes Keras: François Chollet 2015 MIT license: Yes Linux, macOS, Windows: Python: Python, R: Only if using Theano as backend Can use Theano, Tensorflow or PlaidML as backends Yes No Yes Yes [20] Yes Yes No [21] Yes [22] Yes MATLAB + Deep Learning Toolbox (formally Neural Network ...
Original file (WebM audio/video file, VP8/Vorbis, length 3 min 20 s, 1,920 × 1,080 pixels, 2.06 Mbps overall, file size: 49.08 MB) This is a file from the Wikimedia Commons . Information from its description page there is shown below.
This is an accepted version of this page This is the latest accepted revision, reviewed on 13 February 2025. Family of Unix-like operating systems This article is about the family of operating systems. For the kernel, see Linux kernel. For other uses, see Linux (disambiguation). Operating system Linux Tux the penguin, the mascot of Linux Developer Community contributors, Linus Torvalds Written ...
VTE is a library (libvte) implementing a terminal emulator widget for GTK, and a minimal sample application (vte) using that. VTE is mainly used in gnome-terminal, but can also be used to embed a console/terminal in games, editors, IDEs, etc. The VTE library provides a terminal emulator widget VteTerminal for applications using the GTK toolkit.
It ships with most Linux distributions, [230] AmigaOS 4 (using Python 2.7), FreeBSD (as a package), NetBSD, and OpenBSD (as a package) and can be used from the command line (terminal). Many Linux distributions use installers written in Python: Ubuntu uses the Ubiquity installer, while Red Hat Linux and Fedora Linux use the Anaconda installer.
"Tensor" is a reference to Google's TensorFlow and Tensor Processing Unit technologies, and the chip is developed by the Google Silicon team housed within the company's hardware division, led by vice president and general manager Phil Carmack alongside senior director Monika Gupta, [15] in conjunction with the Google Research division.
This is a comparison of binary executable file formats which, once loaded by a suitable executable loader, can be directly executed by the CPU rather than being interpreted by software. In addition to the binary application code, the executables may contain headers and tables with relocation and fixup information as well as various kinds of ...