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Machine Learning with TensorFlow 2 0

Track :

Programming

Lessons no : 5

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What will you learn in this course?
  • Develop and implement machine learning models using TensorFlow 2.0 for real-world applications and data analysis
  • Build neural networks, deep learning architectures, and AI models with TensorFlow 2.0 for scalable machine learning solutions
  • Optimize and tune machine learning algorithms in TensorFlow 2.0 to improve accuracy and performance in practical projects
  • Deploy machine learning models efficiently using TensorFlow 2.0 for production environments and cloud-based applications

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Lessons | 5


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Suraj Shendge

It should be more in depth and explainatory.
2025-10-14

hamouda souha

good
2025-06-03

63_TREESA THOMAS

GOOD
2025-03-18

Susjid

Noice
2024-11-30

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TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.