Objectives
- Work with datasets and understand tokenizer, embedding bag technique and vocabulary
- Explore embeddings in PyTorch and understand token indices
- Perform text classification using data loader and apply it on a neural network model
- Train the text classification model on a news dataset
- Engage in various exercises to solidify your understanding