Watch Data augmentation to address overfitting | Deep Learning Tutorial 26 (Tensorflow, Keras & Python) Video Tutorial
Tutorial Details & Info
| Tutorial Title | : Data augmentation to address overfitting | Deep Learning Tutorial 26 (Tensorflow, Keras & Python) |
| Instructor / Channel | : codebasics |
| Lesson Runtime | : 15:30 Minutes |
| Publish Date | : August 02, 2026 |
| Total Students / Views | : 490,082 views |
Follow step-by-step with Data augmentation to address overfitting | Deep Learning Tutorial 26 (Tensorflow, Keras & Python) created by codebasics. The total lesson runtime is 15:30 minutes providing step-by-step visual instructions. Follow along to build your skills on any desktop PC, Mac, tablet, or smartphone.
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Course Description & Lesson Notes
Official Video Description:
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Learn how to understand Data Augmentation To Address Overfitting | Deep Learning Tutorial 26 (Tensorflow, Keras & Python) with this in-depth video tutorial guide. In this video, you will gain step-by-step knowledge for Data Augmentation To Address Overfitting | Deep Learning Tutorial 26 (Tensorflow, Keras & Python).
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🎓 Lesson Overview & Learning Outcomes:
Welcome to the step-by-step video guide for Data augmentation to address overfitting | Deep Learning Tutorial 26 (Tensorflow, Keras & Python) taught by codebasics. 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 Data augmentation to address overfitting | Deep Learning Tutorial 26 (Tensorflow, Keras & Python).
- Step-by-Step Practical Demonstration: Hands-on implementation guided by codebasics 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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