10. Introduction TensorFlow Data API | Efficient Data Pipelines with Fashion MNIST
In this tutorial of The Deep AI Dive, we explore the TensorFlow Data API — one of the most powerful tools to handle data efficiently for deep learning. You’ll learn the essential functions to build scalable and optimized data pipelines.
✨ What’s covered in this video:
Introduction to tf.data API
Transformations with .map() and .filter()
Using .cache(), .batch(), and .shuffle() for performance
Splitting dataset into training (80%) and validation (20%)
Applying these concepts to the Fashion MNIST dataset
By the end, you’ll know how to prepare your datasets the TensorFlow way — making your models train faster and smarter.
🔗 Perfect for beginners stepping into data preprocessing for AI and ML.
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