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Network Programming with TensorFlow

Track :

Programming

Lessons no : 7

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What will you learn in this course?
  • Develop neural network models for image recognition and handwritten digit classification using TensorFlow and deep learning techniques
  • Implement sequence-to-sequence models for machine translation and natural language processing tasks with TensorFlow
  • Design and train recurrent neural networks for time series prediction and natural language understanding applications
  • Apply TensorFlow to build and optimize word embeddings for semantic analysis and language modeling
  • Utilize TensorFlow for PDE-based simulations and advanced scientific computing in machine learning contexts
  • Troubleshoot and improve deep neural network performance through model tuning and hyperparameter optimization

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Lessons | 7


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Shristi 

ohk
2025-02-05

Nibedita Das 

It was good
2024-02-08

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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) based simulations .