Vision Transformer (ViT)

Vision Transformer (ViT) is a groundbreaking deep learning architecture that applies transformer models to computer vision tasks, revolutionizing image analysis and processing. Coursera's Vision Transformer (ViT) catalogue teaches you the fundamental principles of this innovative approach, including image patch embedding, self-attention mechanisms, and positional encoding. You'll learn to implement ViT models for various applications such as image classification, object detection, segmentation, and generation, while mastering techniques like masked autoencoding, self-supervised learning, and hybrid CNN-Transformer architectures. By gaining expertise in Vision Transformers, you'll be equipped to tackle complex visual recognition challenges and contribute to cutting-edge developments in AI-powered computer vision systems, opening up exciting career opportunities in fields ranging from autonomous driving to medical imaging analysis.

Filter by

Skip to search results

Subject
Required

Language
Required

The language used throughout the course, in both instruction and assessments.

Learning Product
Required

Learn from top instructors with graded assignments, videos, and discussion forums.
Learn a new tool or skill in an interactive, hands-on environment.
Get in-depth knowledge of a subject by completing a series of courses and projects.
Earn career credentials from industry leaders that demonstrate your expertise.
Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Hands-on Learning
Required

Tools
Required

Results for "Vision Transformer (ViT)"

  • University of Colorado Boulder

    Skills you'll gain: Image Analysis, Computer Vision, Autoencoders, Convolutional Neural Networks, Vision Transformer (ViT), Generative Adversarial Networks (GANs), Recurrent Neural Networks (RNNs), Deep Learning, Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Visualization (Computer Graphics), Machine Learning Methods, Model Deployment, Embeddings, Artificial Intelligence, Data Ethics, Data Processing, Applied Machine Learning, Linear Algebra

    4.4 stars, 96 reviews, Intermediate, Specialization, 1 - 3 Months

  • Coursera

    Skills you'll gain: Model Deployment, Fine-tuning, PyTorch (Machine Learning Library), Model Evaluation, Model Training, Vision Transformer (ViT), Model Optimization, Transfer Learning, MLOps (Machine Learning Operations), Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), Distributed Computing, Performance Tuning, Tensorflow, Deep Learning, Cloud Computing, Data Pipelines

    Advanced · Specialization · 1 - 3 Months

  • University of Colorado Boulder

    Skills you'll gain: Vision Transformer (ViT), Recurrent Neural Networks (RNNs), Generative Model Architectures, Embeddings, Digital Signal Processing, Transfer Learning, Machine Learning Methods, Classification Algorithms

    4.3 stars, 36 reviews, Advanced, Course, 1 - 4 Weeks

  • Microsoft

    Skills you'll gain: Generative Model Architectures, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Fine-tuning, Generative AI, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Vision Transformer (ViT), Model Optimization, Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Cloud Infrastructure, AI Workflows, Microsoft Azure, Image Analysis, Model Training, Model Deployment, Hugging Face, Computer Vision

    Beginner · Professional Certificate · 3 - 6 Months

  • Packt

    Skills you'll gain: Vision Transformer (ViT), Generative AI, OpenAI API, ChatGPT, Fine-tuning, Generative Model Architectures, Responsible AI, Retrieval-Augmented Generation, Large Language Modeling, Natural Language Processing, AI powered creativity, Multimodal Prompts, Hugging Face, OpenAI, AI Orchestration, Transfer Learning, Generative AI Agents, Embeddings, Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML)

    Intermediate · Specialization · 3 - 6 Months

  • University of Colorado Boulder

    Skills you'll gain: Recurrent Neural Networks (RNNs), Generative AI, Fine-tuning, Model Training, Vision Transformer (ViT), Model Optimization, Large Language Modeling, Embeddings, Network Architecture

    4.5 stars, 83 reviews, Intermediate, Specialization, 3 - 6 Months

  • Edureka

    Skills you'll gain: Vision Transformer (ViT), Generative Model Architectures, Recurrent Neural Networks (RNNs), Embeddings, Large Language Modeling, Artificial Neural Networks, Software Architecture, Model Optimization, Deep Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Artificial Intelligence, Distributed Computing, Scalability, Unsupervised Learning, Computer Vision, Memory Management

    Intermediate · Course · 1 - 4 Weeks

  • Alberta Machine Intelligence Institute

    Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Generative AI Agents, Prompt Patterns, Agentic systems, LLM Application, Agentic Workflows, LangChain, Large Language Modeling, Vision Transformer (ViT), AI powered creativity, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, AI Security, Machine Learning, Python Programming, Probability & Statistics

    4.3 stars, 6 reviews, Intermediate, Specialization, 1 - 3 Months

  • Simplilearn

    Skills you'll gain: Generative Model Architectures, Generative AI, Large Language Modeling, Vision Transformer (ViT), Artificial Neural Networks, Deep Learning, Recurrent Neural Networks (RNNs), Natural Language Processing

    3.7 stars, 7 reviews, Beginner, Course, 1 - 4 Weeks

  • Pearson

    Skills you'll gain: Fine-tuning, Vision Transformer (ViT), Prompt Engineering, PyTorch (Machine Learning Library), Model Deployment, Transfer Learning, Hugging Face, Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Cloud Deployment, Computer Vision, Generative AI, Image Analysis, Generative Model Architectures, LLM Application, Application Deployment, Model Training, Embeddings, Data Preprocessing

    4.2 stars, 6 reviews, Intermediate, Specialization, 1 - 4 Weeks

  • Coursera

    Skills you'll gain: Fine-tuning, Vision Transformer (ViT), Model Deployment, Model Optimization, Model Training, MLOps (Machine Learning Operations), Keras (Neural Network Library), Predictive Modeling

    Intermediate · Course · 1 - 4 Weeks

  • Simplilearn

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Retrieval-Augmented Generation, Generative AI, Autoencoders, ChatGPT, Model Training, Deep Learning, Model Evaluation, Vision Transformer (ViT), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Computer Vision, Unsupervised Learning, Natural Language Processing

    3.6 stars, 15 reviews, Beginner, Specialization, 1 - 3 Months