TensorFlow Tutorial 12 - TensorFlow Datasets

In this video we look at the datasets that are available to us through TensorFlow Datasets (tfds) and how we load them and then doing preprocessing, shuffling, batching, prefetching etc. For the example we load an image dataset (mnist) and a text dataset (imdb) and create simple models to do image classification and sentiment analysis. New packages/imports we used in the video: ❤️ Support the channel ❤️ Paid Courses I recommend for learning (affiliate links, no extra cost for you): ✨ Free Resources that are great: ? My Deep Learning Setup and Recording Setup: GitHub Repository: ✅ One-Time Donations: ▶️ You Can Connect with me on: OUTLINE: 0:00 - Introduction 0:16 - Keras vs TFDS vs tf.data 1:54 - Imports 2:38 - Image Loading with TFDS 12:59 - Text loading with TFDS 28:15 - Results and Ending