Data Augmentation Techniques to Enhance Deep Learning Performance

An overview of data augmentation methods to improve deep learning models, including practical tricks and best practices for image processing and neural networks.

Data Augmentation Techniques to Enhance Deep Learning Performance
Curious Mind of Art
62 views • Jul 14, 2025
Data Augmentation Techniques to Enhance Deep Learning Performance

About this video

#DataAugmentation, #DeepLearning, #MachineLearning, #AI, #TensorFlow, #ImageProcessing, #NeuralNetworks, #MLTips, #ArtificialIntelligence, #computervision

Want to improve your deep learning model without collecting more data? 📈
In this tutorial, we’ll break down Data Augmentation — a powerful technique that helps your models generalize better by creating new training examples from your existing data.

You’ll learn:
What data augmentation is
Why it’s important in deep learning
Common techniques like flipping, rotating, cropping, and adding noise
How to implement it using TensorFlow
Real-world examples in image, audio, and text data

Perfect for beginners and intermediate learners in AI and machine learning!
Visit our Website for more details: https://techwithlecturerart.blogspot.com/

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Video Information

Views

62

Duration

2:25

Published

Jul 14, 2025

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