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The first layer in this block is a 1x1 convolution for dimension reduction (e.g., to 1/2 of the input dimension); the second layer performs a 3x3 convolution; the last layer is another 1x1 convolution for dimension restoration. The models of ResNet-50, ResNet-101, and ResNet-152 are all based on bottleneck blocks. [1]
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.
A text-to-video model is a machine learning model that uses a natural language description as input to produce a video relevant to the input text. [1] Advancements during the 2020s in the generation of high-quality, text-conditioned videos have largely been driven by the development of video diffusion models. [2]
There is an average pooling of stride 2 at the start of each downsampling convolutional layer (they called it rect-2 blur pooling according to the terminology of [21]). This has the effect of blurring images before downsampling, for antialiasing. [22] The final convolutional layer is followed by a multiheaded attention pooling.
[5] [6] It is free and open-source software released under the Apache License 2.0. It was developed by the Google Brain team for Google's internal use in research and production. [7] [8] [9] The initial version was released under the Apache License 2.0 in 2015. [1] [10] Google released an updated version, TensorFlow 2.0, in September 2019. [11]
The service had 54.5 million subscribers by May 4, [296] [322] 57.5 million subscribers by the end of June, 60.5 million subscribers by August 4, [297] 73.7 million subscribers by September 30, [298] and 86.8 million subscribers as of December 2. [299] In February 2021, Disney reported that Disney+ had 94.9 million subscribers as of January 2 ...
Its handbook [2] closely follows the NASA definition of TRLs. In 2022, the ESA TRL Calculator was released to the public. The universal usage of TRL in EU policy was proposed in the final report of the first High Level Expert Group on Key Enabling Technologies, [ 25 ] and it was implemented in the subsequent EU framework program, called H2020 ...
[1] [2] Finishing is the final step of the manufacturing process that gives wood surfaces desirable characteristics, including enhanced appearance and increased resistance to moisture and other environmental agents. Finishing can also make wood easier to clean [3] and keep it sanitized, sealing pores that can be breeding grounds for bacteria ...