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Overview
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Explore TensorFlow Datasets (tfds) in this 30-minute tutorial video. Learn how to load, preprocess, shuffle, batch, and prefetch datasets for machine learning projects. Follow along as image classification is demonstrated using the MNIST dataset and sentiment analysis using the IMDB dataset. Gain practical experience in creating simple models for both tasks. Discover the differences between Keras, TFDS, and tf.data, and learn how to install necessary packages like matplotlib and tensorflow_datasets. Perfect for those looking to enhance their skills in working with diverse datasets in TensorFlow.
Syllabus
- Introduction
- Keras vs TFDS vs tf.data
- Imports
- Image Loading with TFDS
- Text loading with TFDS
- Results and Ending
Taught by
Aladdin Persson