Complete Pytorch Tensor Tutorial (Initializing Tensors, Math, Indexing, Reshaping)

In this tutorial we go through the basics you need to know about the basics of tensors and a lot of useful tensor operations. I believe knowing about these operations are an essential part of Pytorch and is a foundation that will help as you go further in your deep learning journey. Pytorch is in many ways an extension of NumPy with the ability to work on the GPU and these operations are very similar to what you would see in NumPy so knowing this will also allow you to quicker learn NumPy in the future. ❤️ Support the channel ❤️ Paid Courses I recommend for learning (affiliate links, no extra cost for you): ⭐ Machine Learning Specialization ⭐ Deep Learning Specialization 📘 MLOps Specialization 📘 GAN Specialization 📘 NLP Specialization ✨ Free Resources that are great: NLP: CV: Deployment: FastAI: 💻 My Deep Learning Setup and Recording Setup: GitHub Repository: ✅ One-Time Donations: Paypal: ▶️ You Can Connect with me on: Twitter - LinkedIn - Github - OUTLINE 0:00 - Introduction 1:26 - Initializing a Tensor 12:30 - Converting between tensor types 15:10 - Array to Tensor Conversion 16:26 - Tensor Math 26:35 - Broadcasting Example 28:38 - Useful Tensor Math operations 35:15 - Tensor Indexing 45:05 - Tensor Reshaping Dimensions (view, reshape, etc) 54:45 - Ending words