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TensorFlow 2 0 Programming

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Programming

Lessons no : 6

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What will you learn in this course?
  • Master building and training neural networks using TensorFlow 2.0 for deep learning applications
  • Implement efficient GPU-accelerated machine learning models with TensorFlow 2.0 and CUDA integration
  • Optimize TensorFlow 2.0 models for performance, scalability, and real-world deployment scenarios
  • Develop custom layers, loss functions, and training loops in TensorFlow 2.0 for advanced AI projects
  • Apply TensorFlow 2.0 to solve complex problems in computer vision, natural language processing, and data analysis
  • Troubleshoot and debug TensorFlow 2.0 models to improve accuracy and efficiency in machine learning workflows

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Lessons | 6


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2025-12-01

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The most important thing to realize about TensorFlow is that, for the most part, the core is not written in Python: It's written in a combination of highly-optimized C++ and CUDA (Nvidia's language for programming GPUs) .