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- TensorFlow.js Description: TensorFlow.js is an open-source library that allows developers to train and deploy machine learning models directly in the browser(...) Read more
- TensorFlow Serving API Description: The TensorFlow Serving API is a tool designed to facilitate the deployment of machine learning models in production environments.(...) Read more
- TensorFlow Model Optimization Description: The optimization of TensorFlow models refers to a set of tools and techniques designed to improve the performance and efficiency of(...) Read more
- TensorFlow Federated Description: TensorFlow Federated is a framework designed for machine learning and other computations on decentralized data. Its main goal is to(...) Read more
- TensorFlow Cloud Description: TensorFlow Cloud is a library designed to facilitate the execution of TensorFlow jobs on cloud infrastructure. This tool allows(...) Read more
- TensorFlow Recommenders Description: TensorFlow Recommenders is a library designed to facilitate the construction of recommendation system models using the TensorFlow(...) Read more
- TensorFlow Privacy Description: TensorFlow Privacy refers to the capabilities and tools offered by the TensorFlow machine learning library to ensure that the data(...) Read more
- TensorFlow Decision Forests Description: TensorFlow Decision Forests is a library designed to train machine learning models based on decision trees. This technique is used(...) Read more
- TensorFlow Graphics Description: TensorFlow Graphics is a library that extends TensorFlow to support graphics operations, enabling researchers and developers to(...) Read more
- TensorFlow Quantum Description: TensorFlow Quantum is a library designed for quantum machine learning, combining the capabilities of the popular TensorFlow(...) Read more
- TensorFlow Estimator Description: The TensorFlow Estimator is a high-level API designed to facilitate the construction and training of machine learning models. This(...) Read more
- TensorFlow Model Analysis Description: The analysis of TensorFlow models refers to the evaluation and understanding of machine learning models developed using the(...) Read more
- TensorFlow Data Validation Description: Data validation in TensorFlow is an essential tool for ensuring the quality and integrity of the data used in machine learning(...) Read more
- TensorFlow Data Pipeline Description: The TensorFlow Data Pipeline is a system designed to manage the flow of data in machine learning workflows. This approach allows(...) Read more
- TorchScript Description: TorchScript is a fundamental tool within the PyTorch ecosystem, designed to facilitate the creation of models that are both(...) Read more