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TensorFlow New Features

Track :

Programming

Lessons no : 5

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What will you learn in this course?
  • Master new TensorFlow 2.0 features to enhance deep learning model development and deployment efficiency using updated APIs and Eager execution techniques
  • Implement streamlined neural network architectures with unified RNNs and optimizers for improved performance and scalability
  • Apply TensorFlow 2.0's enhanced integration with Python runtime to optimize machine learning workflows and debugging processes
  • Utilize TensorFlow's latest tools and features to accelerate model training, improve code consistency, and simplify complex AI projects

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Lessons | 5


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There are many changes in TensorFlow 2.0 to make users more productive, including removing redundant APIs, making APIs more consistent (Unified RNNs, Unified Optimizers), and better integrating with the Python runtime with Eager execution .