TensorFlow Tutorial - Custom Dataset for Text with TextLineDataset

Learn how to create an input pipeline for text data using TensorFlow's TextLineDataset in this comprehensive 30-minute tutorial. Discover techniques for loading and processing the IMDB dataset from a text file, and gain insights on adapting the method to various text data structures. Explore filtering datasets, creating vocabularies, and numericalizing with TokenTextEncoder. Follow along as the instructor demonstrates applying map functions on datasets, building a simple model, and handling datasets spread across multiple files. Gain valuable knowledge on sketching a load translation dataset, equipping you with the skills to work efficiently with diverse text data in TensorFlow.

- Introduction and Dataset Overview
- Load using TextLineDataset
- Filtering Dataset
- Creating Vocabulary
- Numericalizing with TokenTextEncoder
- Applying map on datasets
- Simple Model
- Dataset in Several Files
- Sketch Load Translation Dataset
- Ending