PyTorch for Beginners: A Comprehensive Deep Learning Guide 🔥
🚀 Welcome to the world of PyTorch! This video is your ultimate guide to getting started with PyTorch, the powerful open-source machine learning framework.
We'll cover everything from the basics of tensors and autograd to building and training your own neural networks. Whether you're a complete beginner or have some experience with machine learning, this tutorial will provide you with a solid foundation to build amazing AI applications. Learn to handle tensors, perform tensor operations, and understand automatic differentiation with Autograd. Explore building neural networks and the process of training the model. Also understand the performance metrics for evaluation and ways to save and load the trained model. 🎉
By the end of this video, you'll have a clear understanding of PyTorch fundamentals and be ready to tackle more advanced topics. Get ready to unlock the power of deep learning with PyTorch! 🧠
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Chapters:
00:00 - Getting Started with PyTorch
00:22 - What is PyTorch?
01:05 - Understanding Tensors in PyTorch
01:39 - Common Tensor Operations
02:22 - Automatic Differentiation (Autograd)
03:17 - Building Neural Networks with PyTorch
04:13 - Training a Neural Network
04:54 - Model Evaluation and Testing
05:38 - Saving and Loading Models
06:25 - Resources and Next Steps
06:59 - Outro
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