Watch PyTorch Crash Course - Getting Started with Deep Learning Video Tutorial


Tutorial Details & Info

Tutorial Title: PyTorch Crash Course - Getting Started with Deep Learning
Instructor / Channel: AssemblyAI
Lesson Runtime: 49:55 Minutes
Publish Date: July 09, 2022
Total Students / Views: 195,976 views

Explore this free video tutorial for PyTorch Crash Course - Getting Started with Deep Learning instructor AssemblyAI. This full video course has a total duration of 49:55 minutes with crystal clear HD video and audio quality. Watch this video tutorial for free on any desktop PC, Mac, tablet, or smartphone.

Want to learn more about PyTorch Crash Course - Getting Started with Deep Learning? Our educational video hub aggregates top-rated learning materials for a seamless online learning experience. Explore more video lessons by AssemblyAI or browse popular topics on TutorTube.

Course Description & Lesson Notes

Official Video Description:

Learn how to get started with PyTorch in this Crash Course. It teaches you all important concepts about this Deep Learning framework. Resources: - PyTorch website: https://pytorch.org - Deep Learning Explained: https://youtube.com/playlist?list=PLcWfeUsAys2nPgh-gYRlexc6xvscdvHqX - 4h PyTorch Course: https://youtube.com/playlist?list=PLqnslRFeH2UrcDBWF5mfPGpqQDSta6VK4 - Code: https://colab.research.google.com/drive/1eiUBpmQ4m7Lbxqi2xth1jBaL61XTKdxp?usp=sharing - PyTorch vs TensorFlow: https://www.assemblyai.com/blog/pytorch-vs-tensorflow-in-2022/ Get your Free Token for AssemblyAI Speech-To-Text API 👇https://www.assemblyai.com/?utm_source=youtube&utm_medium=referral&utm_campaign=yt_pat_46 ▬▬▬▬▬▬▬▬▬▬▬▬ CONNECT ▬▬▬▬▬▬▬▬▬▬▬▬ 🖥️ Website: https://www.assemblyai.com 🐦 Twitter: https://twitter.com/AssemblyAI 👽 Reddit: https://reddit.com/r/assemblyai ▶️ Subscribe: https://www.youtube.com/c/AssemblyAI?sub_confirmation=1 🔥 We're hiring! Check our open roles: https://www.assemblyai.com/careers ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ #MachineLearning #DeepLearning PyTorch Getting Started PyTorch Installation PyTorch Neural Net PyTorch CNN PyTorch Dataset PyTorch DataLoader PyTorch Optimization Timeline: 00:00 Intro & Overview 00:54 Installation & Overview 02:37 Tensor Basics 11:14 Autograd 17:41 Linear Regression Autograd 20:59 Model, Loss & Optimizer 27:11 Neural Network 38:08 Convolutional Neural Net

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

Discover how to apply PyTorch Crash Course - Getting Started With Deep Learning with this step-by-step video tutorial guide. Throughout this course, you will discover practical tips for PyTorch Crash Course - Getting Started With Deep Learning.

Learning PyTorch Crash Course - Getting Started With Deep Learning requires clear step-by-step guidance and practical hands-on visual demonstrations. Follow along with top-rated video tutorials from industry experts today on TutorTube.

Watch PyTorch Crash Course - Getting Started With Deep Learning full video tutorial and step-by-step course guide with high quality video and audio details on TutorTube.

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🎓 Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for PyTorch Crash Course - Getting Started with Deep Learning taught by AssemblyAI. 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 - Getting Started with Deep Learning.
  • Step-by-Step Practical Demonstration: Hands-on implementation guided by AssemblyAI 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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