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TensorFlow

service · part of Deep Learning

A deep learning framework chosen for production scalability and tooling, used by Novartis for drug discovery. It provides automation through its sequential API, compile, fit, and evaluate methods, and uses TensorFlow Serving to automatically push updated models to multiple servers.

TensorFlow is an open-source deep learning framework developed by Google, widely used for building and deploying machine learning models. It is covered in Géron's 'Hands-On Machine Learning' and Holt's 'Practical Machine Learning with TensorFlow 2.0'. TensorFlow supports neural networks, distributed computing, and production deployment. It is an industry-standard tool for AI development.

Inside TensorFlow (7)

• Keras API — Keras is a high-level API for building and training deep learning models, integrated with TensorFlow.
• Keras — A high-level neural-network API that runs on top of TensorFlow, designed for rapid deep-learning prototyping.
• RDKit — Cheminformatics toolkit integrated with TensorFlow for drug discovery.
• TensorBoard — Visualization tool for TensorFlow to monitor model training and metrics.
• TensorFlow SavedModel — A deployable format for TensorFlow models used in the export phase of model implementation.
• TF Serving — TensorFlow's serving system for deploying models in production at scale, automatically pushing updated models to all web servers, making it preferable for production environments with multiple servers.
• TFX — TensorFlow Extended (TFX) is a production ML pipeline management tool for orchestrating and deploying TensorFlow models.

Connections

• Alternative to PyTorch
• Uses RDKit
• Alternative to PyTorch
• Alternative to Scikit-learn
• Related to PyTorch
• Used for Deep Learning
• Related to Keras
• Uses Deep Learning
• Alternative to Azure ML SDK
• Uses TF Serving
• Alternative to Apache MXNet
• Related to TFX
• Related to TensorBoard
• Related to TensorFlow SavedModel
• Related to Keras
• Related to TF Serving
• Related to Novartis
• Related to Deep Learning
• Related to RDKit
• Used for Policy gradients
• Used for Model versioning
• Related to Amazon Neptune ML
• Uses Python

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