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Neural Network Programming with PyTorch

Track :

Programming

Lessons no : 6

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What will you learn in this course?
  • Design and implement neural network architectures using PyTorch modules and layers effectively
  • Build complex deep learning models with nested modules for advanced AI applications
  • Apply PyTorch's nn.Module to customize and extend neural network functionalities for specific tasks
  • Optimize neural network performance through effective layer management and module structuring in PyTorch
  • Debug and troubleshoot neural network models built with PyTorch for reliable AI solutions
  • Utilize PyTorch's modular design to accelerate development of scalable, maintainable deep learning projects

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Lessons | 6


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Satvik Chauhan 

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2025-12-01

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2025-08-01

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2025-01-19

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Every module in PyTorch subclasses the nn. Module. A neural network is a module itself that consists of other modules (layers). This nested structure allows for building and managing complex architectures easily.