| Section 01: Introduction | |||
| Introduction to Course | 00:05:00 | ||
| Section 02: Building the Auto Image Captioning | |||
| Import the Libraries | 00:09:00 | ||
| Accessing the Caption Dataset for Training | 00:05:00 | ||
| Accessing the Image DataSet for Training | 00:02:00 | ||
| Preprocessing the Text Data | 00:11:00 | ||
| Pre-Process and Load Captions Data | 00:11:00 | ||
| Loading the Captions for Training and Test Data | 00:04:00 | ||
| Preprocessing of Image Data | 00:11:00 | ||
| Loading Features for Train and Test Dataset | 00:09:00 | ||
| Text Tokenization and Sequence Text | 00:11:00 | ||
| Data Generators | 00:11:00 | ||
| Define the Model | 00:03:00 | ||
| Evaluation of Model | 00:09:00 | ||
| Test the Model | 00:08:00 | ||
| Section 03: Deployment of Machine Learning App | |||
| Create Streamlit App | 00:10:00 | ||
| Streamlit Prediction | 00:06:00 | ||
| Test Streamlit App | 00:03:00 | ||
| Deploy Streamlit on AWS EC2 Instance | 00:09:00 | ||
| Order Your Certificate | |||
| Order Your Certificate Now | 00:00:00 | ||