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TensorFlow for Neural Network

Track :

Programming

Lessons no : 6

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What will you learn in this course?
  • Design and implement neural networks using TensorFlow for machine learning and deep learning applications
  • Optimize TensorFlow models for performance and scalability in real-world AI projects
  • Apply TensorFlow tools to preprocess data, build models, and evaluate neural network accuracy
  • Utilize TensorFlow APIs to develop deep learning architectures like CNNs and RNNs for image and text analysis
  • Troubleshoot common TensorFlow issues and improve model robustness in production environments
  • Integrate TensorFlow with other AI frameworks and cloud platforms for scalable machine learning solutions

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Lessons | 6


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PEYMAN AFSHARI BIJARBANEH

the best
2025-09-09

Karan Verma

very helpful
2024-07-25

AMIRTHA J

GOOD REALLY
2024-01-05

N.Manish Kumar

I love this course
2023-05-28

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Created by the Google Brain team, TensorFlow is an open source library for numerical computation and large-scale machine learning. TensorFlow bundles together a slew of machine learning and deep learning (aka neural networking) models and algorithms and makes them useful by way of a common metaphor .