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Machine Learning and Tensorflow

Track :

Programming

Lessons no : 7

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What will you learn in this course?
  • Develop and implement machine learning models using TensorFlow for image recognition and handwritten digit classification
  • Build and train deep neural networks with TensorFlow for natural language processing and word embeddings
  • Apply TensorFlow to create sequence-to-sequence models for machine translation and speech recognition
  • Utilize TensorFlow to solve partial differential equations (PDEs) in scientific computing and engineering applications
  • Optimize machine learning models in TensorFlow for improved accuracy and performance in real-world tasks
  • Troubleshoot and debug TensorFlow models to enhance robustness and reliability in diverse machine learning projects

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Lessons | 7


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Noor Fatima ch 

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2025-08-09

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TensorFlow can train and run deep neural networks for handwritten digit classification, image recognition, word embeddings, recurrent neural networks, sequence-to-sequence models for machine translation, natural language processing, and PDE (partial differential equation) .