Tensorflow

Build and deploy machine learning models with TensorFlow, covering Keras, data pipelines, and production serving.

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TensorFlow

TensorFlow is an end-to-end open-source machine learning platform developed by Google. It provides comprehensive tools for building and deploying ML models, with strong production support.

Key Concepts

  • Computational graphs
  • Keras high-level API
  • tf.data for pipelines
  • SavedModel format
  • TensorFlow Serving

Common Use Cases

  • Production ML systems
  • Large-scale distributed training
  • Mobile/Edge deployment (TFLite)
  • Computer vision
  • NLP with Transformers

Best Practices

  • Use Keras for rapid prototyping
  • Implement data pipelines with tf.data
  • Use TensorBoard for monitoring
  • Profile with tf.profiler
  • Use TFX for MLOps

Resources

  • TensorFlow.org: tensorflow.org/tutorials
  • Related Skills: machine-learning, keras, mlops

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