PyTorch Course for Beginners: Practical Deep Learning Tutorial with Python
Welcome to "PyTorch Course for Beginners", where I’ll guide you through the essentials of deep learning with Python! In this comprehensive tutorial, I’ll show you how to install PyTorch, create tensors, and perform basic tensor operations. You'll learn tensor indexing and slicing, and dive into automatic differentiation using Autograd. Together, we'll build a linear regression model from scratch, explore PyTorch modules and layers, and cover the fundamentals of neural networks. I’ll also teach you how to train neural networks with PyTorch and efficiently save and load models. Whether you're new to deep learning or looking to sharpen your skills, this course will provide hands-on, practical knowledge to help you learn deep learning. Thanks for watching my video. I share new Data Science videos weekly, you can subscribe for more videos like this.
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Chapters:
00:00:00 Introduction
00:03:34 Installing PyTorch
00:06:23 Creating Tensors
00:16:15 Tensor Operations
00:27:09 Tensor Indexing and Slicing
00:35:44 Automatic Differentiation
00:43:17 Linear Regression from Scratch
00:56:52 Modules and Layers
01:00:47 Neural Network Fundamentals
01:12:03 Training a Deep Learning Model
01:26:08 Outro
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