Create Image Captioning Models
Master deep learning techniques to build models that generate accurate image descriptions. Learn encoder-decoder architecture and model evaluation.
Master deep learning techniques to build models that generate accurate image descriptions. Learn encoder-decoder architecture and model evaluation.
This advanced course teaches you how to create image captioning models using deep learning techniques. You'll learn about the components of these models, including encoders and decoders, and how to train and evaluate them. By the end of the course, you'll be able to build your own image captioning models and use them to generate accurate descriptions for various images.
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What you'll learn
Understand the components of an image captioning model
Learn to train and evaluate image captioning models
Create custom image captioning models
Apply models to generate captions for various images
Skills you'll gain
This course includes:
30 Minutes PreRecorded video
1 quiz
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FullTime access
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There is 1 module in this course
This course focuses on creating image captioning models using deep learning techniques. Students will explore the architecture of these models, including the crucial components of encoders and decoders. The curriculum covers the process of training and evaluating image captioning models, providing hands-on experience in building and fine-tuning these systems. By the end of the course, participants will have the skills to develop their own image captioning models and apply them to generate accurate and contextually relevant captions for a wide range of images.
Create Image Captioning Models: Overview
Module 1 · 52 Minutes to complete
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4.6 course rating
19 ratings
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