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The StatQuest Introduction to PyTorch

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🎓 Featured Course Guide & Lesson Notes: PyTorch Crash Course: Deep Learning in Python

Top Result #1

Instructor: NeuralNine  |  Runtime: 32:30 mins  |  Students / Views: 401,164

In this video, we do a crash course on PyTorch, the leading machine learning framework for Python. We start by looking at lower-level concepts like tensors and autodiff. Then we move on to a practical example where we build, train and evaluate a neural network. ◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾ 📚 Programming Books & Merch 📚 🐍 The Python Bible Book: https://www.neuralnine.com/books/ 💻 The Algorithm Bible Book: https://www.neuralnine.com/books/ 👕 Programming Merch: https://www.neuralnine.com/shop 💼 Services 💼 💻 Freelancing & Tutoring: https://www.neuralnine.com/services 🖥️ Setup & Gear 🖥️: https://neuralnine.com/extras/ 🌐 Social Media & Contact 🌐 📱 Website: https://www.neuralnine.com/ 📷 Instagram: https://www.instagram.com/neuralnine 🐦 Twitter: https://twitter.com/neuralnine 🤵 LinkedIn: https://www.linkedin.com/company/neuralnine/ 📁 GitHub: https://github.com/NeuralNine 🎙 Discord: https://discord.gg/JU4xr8U3dm Timestamps: (0:00) Intro (0:42) Environment Setup (5:26) CUDA Information (7:00) PyTorch Tensors (11:51) PyTorch AutoGrad (15:12) Loading Datasets in PyTorch (20:57) Build Neural Network (26:21) Train Neural Network (29:09) Evaluate Neural Network (31:41) Outro Key Highlights & Overview: Understanding <strong>Pytorch Tutorial Crash Course</strong> is essential for modern technical workflows and software skills. Follow along with top-rated video tutorials from industry experts today on <strong>TutorTube</strong>.