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TensorFlow

Rating:

4.9 / 5.0

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TensorFlow

Tags

Machine Learning, Deep Learning, Neural Networks, Open Source, Library, Google, AI Framework

Pricing Details

Free (open source). Costs may apply when using cloud resources for training and deploying models.

Features

Deep learning, neural networks, distributed computing, model training, model deployment, TensorBoard visualization, support for various platforms (CPU, GPU, TPU), open-source.

Integrations

Integration with Keras, PyTorch (via bridges), cloud platforms (Google Cloud AI Platform, AWS SageMaker, Azure ML), and other ML/DL tools.

Preview

TensorFlow is a powerful open-source library for machine learning developed by the Google Brain team. It provides a flexible platform for building and training machine learning models and deep neural networks. TensorFlow supports distributed computing, allowing models to be trained on large datasets and clusters of computing resources. The library includes tools for building, debugging, and visualizing models (TensorBoard), and also supports deploying models on various platforms, including servers, mobile devices, and web browsers. TensorFlow is widely used in research and production for a wide range of ML/DL tasks.