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Explain the apis outside tensorflow project?
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Answer / Ankush Sharma
TensorFlow integrates with several APIs to facilitate data preprocessing and model deployment. Some popular ones include: TensorBoard for visualizing training progress, Keras for high-level neural network building, Scikit-learn for traditional machine learning algorithms, BigQueryAI for Google Cloud data analysis, TensorFlow Serving for deploying models in production, and TF-Agents for reinforcement learning.
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