Table of Contents

1. A Primer on Deep Learning
2. Getting PyTorch Setup and Running
3. Multi-object Detection
4. Image Labeling Using Transfer Learning
5. Harnessing Generative Adversarial Network for Data Augmentation
6. Building Text-to-speech Models
7. Converting Speech-to-text Using TorchAudio
8. Text Analysis, Categorization, and Language Translation
9. Text Summarization and Sentiment Analysis
10. Time Series Forecasting Using Deep Learning