TensorFlow 入门进阶 TensorFlow is a software library for designing and deploying numerical computations, with a key focus on applications in machine learning. The library allows algorithms to be described as a graph of connected operations that can be executed on various GPU-enabled platforms ranging ...
A smaller CPU-only package is also available: $ pip install tensorflow-cpu To update TensorFlow to the latest version, add--upgradeflag to the above commands. Nightly binaries are available for testing using thetf-nightlyandtf-nightly-cpupackages on PyPI. ...
This GitHub repository hosts the tensorflow_hub Python library to download and reuse SavedModels in your TensorFlow program with a minimum amount of code, as well as other associated code and documentation. Getting Started Introduction The asset types of tfhub.dev SavedModels for TensorFlow 2 an...
There are three distinct parts that define the TensorFlow workflow, namely preprocessing of data, building the model, and training the model to make predictions. The framework inputs data as a multidimensional array calledtensorsand executes in two different fashions. The primary method is by build...
unique_ptr<FunctionLibraryDefinition>lib_def;// Owns the FunctionLibraryRuntime objects needed to execute functions, one// per device.std::unique_ptr<ProcessFunctionLibraryRuntime>proc_flr;// A graph is partitioned over multiple devices. Each partition// has a root executor which may call into...
TensorFlow-DirectML-Plugin builds DirectML as a PluggableDevice backend to TensorFlow 2 for machine learning training on Windows and the Windows Subsystem for Linux. DirectML is an ML library that enables model acceleration across all DirectX 12 compatible GPUs. ...
merlin-tensorflow-training container allows users to do preprocessing and feature engineering with NVTabular, and then train a deep-learning based recommender system model with TensorFlow. As the ETL component of the Merlin ecosystem, NVTabular is a feature engineering and preprocessing library for tabula...
the TensorFlow framework has been optimized usingIntel® oneAPI Deep Neural Network Library (oneDNN)primitives, a popular performance library for deep learning applications. Intel collaborates with Google* to upstream mostoptimizationsinto the stock distribution of TensorFlow, with the newest featu...
UseMATLAB Coderwith Deep Learning Toolbox to generate MEX or standalone CPU code that runs on desktop or embedded targets. You can deploy generated standalone code that uses the Intel®MKL-DNN library or the ARM®Compute library. Alternatively, you can generate generic C or C++ code that ...
Transformers is a library of pretrained text, computer vision, audio, video, and multimodal models for inference and training. Use Transformers to fine-tune models on your data, build inference applications, and for generative AI use cases across multiple modalities. There are over 500K+ Transformer...