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Keras was first independent software, then integrated into the TensorFlow library, and later supporting more. "Keras 3 is a full rewrite of Keras [and can be used] as a low-level cross-framework language to develop custom components such as layers, models, or metrics that can be used in native workflows in JAX, TensorFlow, or PyTorch — with ...
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]
"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.
Deep learning is a subset of machine learning that focuses on utilizing neural networks to perform tasks such as classification, regression, and representation learning.The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data.
Tensor Processing Unit (TPU) is an AI accelerator application-specific integrated circuit (ASIC) developed by Google for neural network machine learning, using Google's own TensorFlow software. [2] Google began using TPUs internally in 2015, and in 2018 made them available for third-party use, both as part of its cloud infrastructure and by ...
The company owns and operates several technology-oriented YouTube channels and podcasts, most notably Linus Tech Tips (LTT), serving as their production agency and distributor. [ 3 ] LMG's other channels, including Techquickie , TechLinked , ShortCircuit , and GameLinked have amassed a total of 26.39 million subscribers, resulting in 9.16 ...
A multi-channel network (MCN) is an organization that works with video platforms to offer assistance to channel owners in areas such as "product, programming, funding, cross-promotion, partner management, digital rights management, monetization and sales, and audience development," [1] in exchange for a percentage of the ad revenue from the channel.
YouTube originally offered videos at only one quality level, displayed at a resolution of 320×240 pixels using the Sorenson Spark codec (a variant of H.263), [29] [30] with mono MP3 audio. [31] In June 2007, YouTube added an option to watch videos in 3GP format on mobile phones. [32]