PyTorch in 100 Seconds

The video provides an overview of PyTorch, a library for building AI models, highlighting its origins, usability, and applications. It explains tensors, GPU acceleration, and dynamic computational graphs. The tutorial guides viewers through installing PyTorch, performing basic tensor operations, and building a neural network for image classification. The process involves defining layers, using activation functions, and training the model on a GPU.

How does Pi Torch facilitate high-performance parallel computing?

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What is Pi Torch and what are its primary uses?

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Explain the concept of tensors in the context of Pi Torch.

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Describe the process of building a deep neural network using Pi Torch.

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What role does the forward method play in a neural network built with Pi Torch?

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