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.

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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

  • 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

  • Edureka

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Autoencoders, Model Optimization, Vision Transformer (ViT), Artificial Neural Networks, Model Deployment, Model Training, Deep Learning, Recurrent Neural Networks (RNNs), Embeddings, PyTorch (Machine Learning Library), Large Language Modeling, AI Enablement, Artificial Intelligence

    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, Supervised Learning

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

  • 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

  • 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

  • Packt

    Skills you'll gain: PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Model Evaluation, Convolutional Neural Networks, Natural Language Processing, Deep Learning, Generative Adversarial Networks (GANs), Classification Algorithms, Transfer Learning, Model Training, Vision Transformer (ViT), Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Fine-tuning, Artificial Neural Networks, Machine Learning, Computer Vision, Generative Model Architectures, Graph Theory, Machine Learning Algorithms

    4.5 stars, 104 reviews, Intermediate, Specialization, 3 - 6 Months

  • 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

  • Board Infinity

    Skills you'll gain: Model Deployment, Generative AI, Large Language Modeling, Generative Model Architectures, PyTorch (Machine Learning Library), Fine-tuning, Application Deployment, Model Optimization, Deep Learning, MLOps (Machine Learning Operations), Cloud Deployment, Vision Transformer (ViT), Transfer Learning, Token Optimization, LLM Application, Hugging Face, Convolutional Neural Networks, Containerization, Model Training, Computer Vision

    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

  • 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