Need of Deep Learning for NLP | PyTorch Installation, Tensors & AutoGrad Tutorial

Course link: https://aicourse.thinkific.com/courses/nlp-natural-language-processing-in-python-for-beginners
00:00 – Pytorch Installation And Tensors Introduction
10:35 – Automatic Differentiation Pytorch
In this video, we explore the Need of Deep Learning for NLP and get hands-on with PyTorch basics to build a strong foundation for advanced Natural Language Processing tasks. You’ll learn step by step how to install PyTorch, set up environments, and work with tensors just like NumPy arrays. We also dive into automatic differentiation (AutoGrad) in PyTorch—an essential concept behind training deep learning models—so you understand how gradients are calculated and used in optimization without manually coding backpropagation. This tutorial is designed for beginners who want to get started with deep learning for NLP using PyTorch.

Whether you are new to PyTorch or looking to strengthen your basics, this video will guide you from installation to tensors, and from loss functions to automatic gradient computation, preparing you for building more complex models in NLP.
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