Watch PyTorch Crash Course: Deep Learning in Python Video Tutorial


Tutorial Details & Info

Tutorial Title: PyTorch Crash Course: Deep Learning in Python
Instructor / Channel: NeuralNine
Lesson Runtime: 32:30 Minutes
Publish Date: February 14, 2026
Total Students / Views: 33,108 views

Master the concepts in PyTorch Crash Course: Deep Learning in Python created by NeuralNine. The total lesson runtime is 32:30 minutes with crystal clear HD video and audio quality. Follow along to build your skills today on TutorTube.

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Course Description & Lesson Notes

Official Video Description:

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

🌐 Web & Search Guide Notes (DuckDuckGo, Yahoo & Bing):

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🎓 Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for PyTorch Crash Course: Deep Learning in Python taught by NeuralNine. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.

💡 Key Topics Covered in This Course:

  • Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for PyTorch Crash Course: Deep Learning in Python.
  • Step-by-Step Practical Demonstration: Hands-on implementation guided by NeuralNine with real-world examples.
  • Best Practices & Key Shortcuts: Time-saving workflows, keyboard shortcuts, and industry-standard recommendations.
  • Troubleshooting & Common Pitfalls: How to avoid common beginner errors and optimize your workflow for peak efficiency.

📋 Recommended Prerequisites & Study Notes:

No prior advanced experience is required. Follow along with the video player above on any desktop computer, tablet, or mobile device. Pause and rewind at key steps to practice along with the instructor.

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