Image Captioning Courses and Certifications

Yannic Kilcher

VirTex- Learning Visual Representations from Textual Annotations

Explore VirTex, a novel approach to visual representation learning using high-quality image captions, outperforming traditional methods with fewer images for various computer vision tasks.

• YouTube
• 30 minutes
• On-Demand
• Free Video

1littlecoder

Image Captioning Python App with ViT and GPT2 Using Hugging Face Models - Applied Deep Learning

Learn to create an image captioning app using ViT and GPT2 models from Hugging Face. Build a Gradio interface and deploy it on the Model Hub for easy access and sharing.

• YouTube
• 25 minutes
• On-Demand
• Free Video

Sam Witteveen

Image Annotation with LLaVA and Ollama

Learn to annotate images using LLava 1.6 and Ollama. Explore file handling, image loading, API integration, and data management in this practical tutorial on building an image captioning application.

• YouTube
• 15 minutes
• On-Demand
• Free Video

Google Cloud Tech

Creating Image Captioning Models: Overview and Components

Learn to build deep learning image captioning models, exploring encoder-decoder architecture, training techniques, and evaluation methods for accurate visual descriptions.

• YouTube
• 12 minutes
• On-Demand
• Free Video

Eran Feit

Automatic Image Captioning with Vision Transformer and GPT-2

Generate descriptive captions for images using Python, PyTorch, and Hugging Face's pre-trained 'nlpconnect/vit-gpt2-image-captioning' model. Learn to process images with ViT and generate text with GPT-2.

• YouTube
• 16 minutes
• On-Demand
• Free Video

Create Image Captioning Models - 简体中文

本课程教您如何使用深度学习来创建图片标注模型。您将了解图片标注模型的不同组成部分，例如编码器和解码器，以及如何训练和评估模型。学完本课程，您将能够自行创建图片标注模型并用来生成图片说明。

• Coursera
• 49 minutes
• On-Demand
• Free Online Course (Audit)

Create Image Captioning Models - 繁體中文

本課程說明如何使用深度學習來建立圖像說明生成模型。您將學習圖像說明生成模型的各個不同組成部分，例如編碼器和解碼器，以及如何訓練和評估模型。在本課程結束時，您將能建立自己的圖像說明生成模型，並使用模型產生圖像說明文字。

• Coursera
• 49 minutes
• On-Demand
• Free Online Course (Audit)

Create Image Captioning Models - 한국어

이 과정에서는 딥 러닝을 사용해 이미지 캡션 모델을 만드는 방법을 알아봅니다. 인코더 및 디코더와 모델 학습 및 평가 방법 등 이미지 캡션 모델의 다양한 구성요소에 대해 알아봅니다. 이 과정을 마치면 자체 이미지 캡션 모델을 만들고 이를 사용해 이미지의 설명을 생성할 수 있게 됩니다.

• Coursera
• 49 minutes
• On-Demand
• Free Online Course (Audit)

Create Image Captioning Models - Português Brasileiro

Aprenda a criar modelos de legenda para imagens usando aprendizado profundo, incluindo componentes como codificador e decodificador, treinamento e avaliação do modelo.

• Coursera
• 49 minutes
• On-Demand
• Free Online Course (Audit)

Create Image Captioning Models - בעברית

למדו ליצור מודלים להוספת כיתוב לתמונות באמצעות למידה עמוקה, כולל מקודד ומפענח, אימון והערכת ביצועים. בסיום תוכלו ליישם את הידע ליצירת כיתובים לתמונות.

• Coursera
• 52 minutes
• On-Demand
• Free Online Course (Audit)

Improving Natural Language Understanding Through Adversarial Testing

Explore adversarial testing in natural language understanding to challenge and improve AI systems. Learn to identify weaknesses and develop robust models for real-world applications.

• YouTube
• 59 minutes
• On-Demand
• Free Video

Advanced Computer Vision and Deep Learning

1 review

Learn to apply deep learning architectures to computer vision tasks. Discover how to combine CNN and RNN networks to build an automatic image captioning application.

• Udacity
• 2 weeks, 4-5 hours a week
• On-Demand
• Paid Course

Create Image Captioning Models

23 ratings at Coursera

Learn to build deep learning models that generate captions for images, covering encoder-decoder architecture, training techniques, and evaluation methods for practical implementation.

• Coursera
• 52 minutes
• On-Demand
• Free Online Course (Audit)

Packt

Introduction to RNN and DNN

Master RNN and DNN techniques for AI applications. Build sophisticated models for speech recognition, machine translation, and more using PyTorch. Gain practical skills for real-world AI implementation.

• Coursera
• 6 hours 36 minutes
• On-Demand
• Free Online Course (Audit)

IIT Kharagpur;  NPTEL

Deep Learning For Visual Computing

1 review

Deep learning is a genre of machine learning algorithms that attempt to solve tasks by learning abstraction in data following a stratified description paradigm using non-­linear transforma

• Swayam
• 12 weeks
• On-Demand
• Free Online Course