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Deep Learning Architectures and Applications

Track :

Programming

Lessons no : 3

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What will you learn in this course?
  • Design and implement various deep learning architectures including feed-forward and recurrent neural networks for real-world applications
  • Optimize deep learning models for accuracy, efficiency, and scalability in diverse problem domains
  • Apply deep learning techniques to solve complex problems in computer vision, natural language processing, and speech recognition
  • Evaluate and troubleshoot deep learning architectures to improve performance and adapt solutions to evolving data challenges

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Lessons | 3


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Deep learning is represented by a spectrum of architectures that can build solutions for a range of problem areas. These solutions can be feed-forward focused or recurrent networks that permit consideration of previous inputs .