Search results
Results From The WOW.Com Content Network
During the Google I/O Conference in June 2016, Jeff Dean stated that 1,500 repositories on GitHub mentioned TensorFlow, of which only 5 were from Google. [20] In March 2018, Google announced TensorFlow.js version 1.0 for machine learning in JavaScript. [21] In Jan 2019, Google announced TensorFlow 2.0. [22] It became officially available in ...
Up until version 2.3, Keras supported multiple backends, including TensorFlow, Microsoft Cognitive Toolkit, Theano, and PlaidML. [7] [8] [9] As of version 2.4, only TensorFlow was supported. Starting with version 3.0 (as well as its preview version, Keras Core), however, Keras has become multi-backend again, supporting TensorFlow, JAX, and ...
Automatic differentiation [2] Has pretrained models Recurrent nets Convolutional nets RBM/DBNs Parallel execution (multi node) Actively developed BigDL: Jason Dai (Intel) 2016 Apache 2.0: Yes Apache Spark Scala Scala, Python No No Yes Yes Yes Yes Caffe: Berkeley Vision and Learning Center 2013 BSD: Yes Linux, macOS, Windows [3] C++: Python ...
Are you claiming TensorFlow has no drawbacks, deficiencies, or problems of any kind? If there are some, then they should be put into the article, or it should state that TensorFlow is perfect and flawless. 2600:8800:7000:33:0:0:0:4F5 02:47, 3 December 2019 (UTC) @Jebcubed: Which negative information does this article omit, specifically? Which ...
Open-source artificial intelligence is an AI system that is freely available to use, study, modify, and share. [1] These attributes extend to each of the system's components, including datasets, code, and model parameters, promoting a collaborative and transparent approach to AI development. [1]
The original T5 codebase was implemented in TensorFlow with MeshTF. [2] UL2 20B (2022): a model with the same architecture as the T5 series, but scaled up to 20B, and trained with "mixture of denoisers" objective on the C4. [23] It was trained on a TPU cluster by accident, when a training run was left running accidentally for a month. [24]
Guillaume Verdon-Akzam, also known as Guillaume Verdon, or Gill Verdon [4] is a Canadian mathematical physicist, quantum computing researcher, serial entrepreneur, and writer who is a key contributor of Google's quantum machine learning software, Tensorflow Quantum. [5]
PlaidML is a portable tensor compiler.Tensor compilers bridge the gap between the universal mathematical descriptions of deep learning operations, such as convolution, and the platform and chip-specific code needed to perform those operations with good performance.