Friday, May 3, 2024
Introduction to PyTorch | AI
This video is ideal for AI enthusiasts and budding developers eager to demystify the complexities of Python's PyTorch framework. Dive into the core concepts of tensors, computational graphs, and backpropagation algorithms. Learn the ease of building and manipulating tensors, understand the various data types, and master critical functions for AI development. Within this expertly crafted tutorial, I present how to create AI models without the burden of complex mathematics. You'll be introduced to the power of PyTorch, which simplifies differentiation and integration, topics initially explored in high school math. The tutorial unravels the magic behind creating neural networks that process data to produce accurate predictions, leveraging GPUs for intensive computations at no cost. Make sure you have a basic understanding of Python and experience with Google Colab, as real-time coding demonstrations within PyTorch are included for you to follow along with precision. From understanding the structure of neural networks to implementing advanced math operations, each step is clearly and comprehensively explained. Whether you're interested in housing price predictions or mathematical modeling, PyTorch’s dynamic computation graph and automatic differentiation tools pave the way for your success in AI. ⭐️ Contents ⭐️ ⌨️ (0:00:00) 01. Intro ⌨️ (0:01:10) 02. AI Fundamentals ⌨️ (0:06:20) 03. Computation Graphs ⌨️ (0:11:41) 04. What are Tensors ⌨️ (0:17:21) 05. Datatypes in Tensors ⌨️ (0:21:31) 06. Aggregation functions for Tensors ⌨️ (0:23:38) 07. Tensor shape manipulation ⌨️ (0:28:00) 08. Ones, Zeros, and Like in Tensors ⌨️ (0:29:58) 09. Inplace operations in Tensors ⌨️ (0:30:58) 10. Autograds in PyTorch ⭐️Complete AI Playlist:⭐️ https://www.youtube.com/playlist?list=PLHG8ZL4vB0PsKWkqzIVvrBzjG2mJRC6MV ⭐️Notebook and Code ⭐️: https://github.com/gkv856/util_repo.git #Python #PyTorch #AITutorial #Tensor #MachineLearning #NeuralNetworks #AIModeling #DeepLearning #Backpropagation #DataScience #CodingInPython #PythonProgramming #AIExperts
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