Implement Image Captioning with Recurrent Neural Networks

سرفصل های دوره

This course will teach you how to build and train image captioning models using TensorFlow, with the help of a case study - building a model for image tagging. You will learn how to prepare the data for model training and evaluate the trained model.

1. Course Overview

1. Course Overview

2. Introducing Image Captioning

1. Overview

2. What Is Image Captioning and Why Is It Important

3. Introducing the Business Case Study for Image-captioning

4. Proposed Solutions for Image Captioning Case Study

5. Summary

3. Preparing Data for Image Captioning Models

1. Module and Project Overview

2. Demo - Load and Explore the Dataset

3. Demo - Pre-processing the Images Data

4. Demo - Pre-processing the Captions Data

5. Demo - Prepare Training Data Using Pre-processed Data

6. Summary

4. Building the Model for Image Captioning Using Tensorflow

1. Overview

3. Demo - Implement CNN Encoder in TensorFlow

5. Demo - Define the Loss Function and Model Checkpoints

6. Demo - Perform Model Training

7. Demo - Making Predictions out of the Trained Model

8. Summary

5. Evaluating Deep Learning Models for Image Captioning

1. Overview

2. Meshed Memory Transformer for Image Captioning

3. Evaluation Metrics for Image Captioning

4. Bottom-up and Top-down Attention for Image Captioning

5. Summary

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تولید کننده: PluralSight