Random Like Functions - torch.rand_like(), torch.randn_like(), torch.randint_like() | Ali Hassan

Описание: In this video, we explore the Random Like Functions in PyTorch: torch.rand_like(), torch.randn_like(), and torch.randint_like(). These functions let you generate random tensors with the same shape, dtype, and device as an existing tensor — extremely useful in model initialization, noise injection, and more! 🧠
We'll break down the difference between uniform, normal, and integer-based random sampling, and provide simple, clear code examples for each. If you want to understand PyTorch’s tensor creation techniques deeply, this tutorial is for you.
📌 Perfect for AI beginners, data scientists, and PyTorch learners who want clean, reproducible, and fast code.

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