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#Vision Transformers

Showing: 48 courses
Open Data Science

Vision Transformer and Its Applications

1 rewiews
Explore vision transformers' architecture, self-attention in computer vision, and applications in recognition, segmentation, and multi-modal learning. Discover their potential for general-purpose model architectures.
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25 Lesons
35 minutes
On-Demand
Free-Video
University of Central Florida

Rethinking and Improving Relative Position Encoding for Vision Transformer - Lecture 23

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Explore vision transformer improvements through relative position encoding, examining bias modes, piecewise indexing, and 2D calculations for enhanced performance in image processing tasks.
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18 Lesons
32 minutes
On-Demand
Free-Video
University of Central Florida

Emerging Properties in Self-Supervised Vision Transformers - Lecture 25

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Explore emerging properties in self-supervised vision transformers, covering related topics, model overview, and implementation details for advanced computer vision applications.
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7 Lesons
26 minutes
On-Demand
Free-Video
University of Central Florida

Geo-localization Framework for Real-world Scenarios - Defense Presentation

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Explore advanced geo-localization techniques using vision transformers and novel loss functions for improved accuracy in real-world scenarios, with a focus on bridging domain gaps.
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21 Lesons
39 minutes
On-Demand
Free-Video
Eran Feit

Automatic Image Captioning with Vision Transformer and GPT-2

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Learn how to generate descriptive captions for images using Python and PyTorch in this 16-minute tutorial. Explore the process of automatic image captioning with the pre-trained 'nlpconnect/vit-gpt2-image-captioning' model from Hugging Face. Set up the V…
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1 Lesons
16 minutes
On-Demand
Free-Video
Montreal Robotics

Building Generalist Robotics Policies from Scratch

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Build a Generalist Robotics Policy from scratch, reimplementing the "Octo" model step-by-step. Learn to create, train, and evaluate large models for robotics using interaction data and transformer architecture.
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20 Lesons
1 hour 27 minutes
On-Demand
Free-Video
Anyscale

Using Promptable Image Analysis for Clinical Diagnostics - Ray Summit 2024

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Explore the integration of LLMs and Vision Transformers for enhanced clinical image analysis. Discover how Ray technologies enable real-time processing of multimodal data, revolutionizing diagnostic workflows in healthcare.
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1 Lesons
33 minutes
On-Demand
Free-Video
The Machine Learning Engineer

LLMOps: Personalizar ViT Classifier con tu Propia Data y Docker Inference

0 rewiews
Personaliza un Vision Transformer con tu dataset, crea un docker y un punto de inferencia con FastAPI para clasificación de imágenes.
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1 Lesons
40 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOPS: Inferencia de Modelo VIT ONNX en Azure ML Managed Endpoint - Español

0 rewiews
Aprende a realizar inferencia en Azure Kubernetes Services utilizando un modelo Vision Transformer convertido a ONNX con Azure Machine Learning Studio y Python SDK v2.
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1 Lesons
57 minutes
On-Demand
Free-Video
The Machine Learning Engineer

LLMOps: Inferencia de Clasificador ViT Fine-Tuned en CPU con C#

0 rewiews
Aprende a realizar inferencia en C# con un Vision Transformer personalizado en formato ONNX utilizando CPU para clasificación de imágenes.
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1 Lesons
23 minutes
On-Demand
Free-Video
The Machine Learning Engineer

LLMOps: Converting Fine-Tuned ViT Classifier to ONNX for CPU Inference

0 rewiews
Convierte un Vision Transformer personalizado a ONNX y realiza inferencia en CPU, optimizando el rendimiento del modelo de clasificación de imágenes.
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1 Lesons
28 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Fine-Tuning ViT Classifier for Retinal Image Detection - Part 2 (Español)

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Personaliza un Vision Transformer para clasificar imágenes de retina, detectando ojos enfermos usando el dataset EyeQ. Aprende a ajustar modelos pre-entrenados para tareas específicas.
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1 Lesons
56 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Fine-Tuning ViT Classifier for Retina Images and Converting to ONNX Format - Part 3

0 rewiews
Personaliza un Vision Transformer con tu dataset de imágenes de retina y conviértelo a formato ONNX para optimizar el rendimiento y la portabilidad.
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1 Lesons
11 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Fine-Tuning ViT Classifier for Retinal Images with AKS Inference - Part 4 (Español)

0 rewiews
Personaliza un Vision Transformer con tu dataset de imágenes de retina y crea un punto de inferencia administrado en Azure Machine Learning Studio (AKS).
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1 Lesons
49 minutes
On-Demand
Free-Video
Discover AI

Python Classes for AI Model Subclassing and Fine-tuning

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Master Python classes and their application in AI development, focusing on LLM fine-tuning and Vision transformer implementation with KERAS3 functionality.
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1 Lesons
27 minutes
On-Demand
Free-Video
Data Science Conference

Deep Learning Techniques for Monocular Depth Estimation

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Dive into advanced monocular depth estimation techniques, from transfer learning to Vision Transformers and Meta AI's DINOv2 model, exploring cutting-edge solutions in computer vision.
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1 Lesons
1 hour 30 minutes
On-Demand
Free-Video
Discover AI

AI Domain Generalization: ICRM and ContextVisionTransformers in Medical and Emergency Response

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Explore advanced domain generalization in AI through MIT's ICRM methodology and ContextViT, focusing on medical imaging and emergency response applications across diverse real-world scenarios.
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1 Lesons
41 minutes
On-Demand
Free-Video
Data Science Conference

Seeing Through the Lens of Transformers - A New Era in Computer Vision

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Explore the revolutionary impact of transformer architecture in computer vision, from its origins in language processing to groundbreaking applications in visual tasks and self-attention mechanisms.
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1 Lesons
33 minutes
On-Demand
Free-Video
AI Bites

DINOv2: Data Pipeline, Model Training and Results - Meta AI's Visual Feature Learning System

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Delve into Meta AI's DINOv2 architecture, exploring its data pipeline, training methodology, and innovative features for robust visual processing without supervision in just 12 minutes.
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8 Lesons
12 minutes
On-Demand
Free-Video
Discover AI

Code Panoptic Image Segmentation with Vision Transformer and Mask2Former - A PyTorch Tutorial

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Dive into advanced image segmentation using Mask2Former architecture, exploring masked attention and universal segmentation techniques for enhanced computer vision applications.
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1 Lesons
16 minutes
On-Demand
Free-Video
Discover AI

Learning Vision Transformer (ViT) Technology: Research Methods and Resources - 2023

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Discover effective strategies for learning and implementing Vision Transformer technology through top academic resources, code repositories, and research platforms like HuggingFace and Papers with Code.
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10 Lesons
29 minutes
On-Demand
Free-Video
Discover AI

Building a BLIP-2 Application: Vision Transformer and Language Model Integration

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Master building a multimodal AI system that combines Vision Transformers and language models to analyze images and generate contextual responses through practical implementation of BLIP-2 architecture.
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1 Lesons
23 minutes
On-Demand
Free-Video
Discover AI

PyTorch Vision Transformer - Guide to Fine-Tuning for Object Identification

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Master fine-tuning Vision Transformers (ViT) in PyTorch through hands-on coding, focusing on object identification implementation with practical examples and real-time coding demonstrations in Google Colab.
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1 Lesons
22 minutes
On-Demand
Free-Video
Discover AI

PyTorch Vision Transformer: Applying Pre-trained and Fine-tuned ViT Models for Image Classification

0 rewiews
Master Vision Transformer implementation in PyTorch using pre-trained and fine-tuned ViT models for image classification, with hands-on practice in Google Colab and Huggingface integration.
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1 Lesons
23 minutes
On-Demand
Free-Video
Discover AI

Vision Transformer-Based Transfer Learning for Medical Image Classification 2023

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Explore cutting-edge Vision Transformer technology for medical image classification, focusing on mammogram analysis and early breast cancer detection through advanced deep learning approaches.
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1 Lesons
21 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

Convergence of Vision and Language in AI - Recent Developments and Projects

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Explore the convergence of vision and language in AI with Lucas Beyer from Google DeepMind, covering topics like ViT, PaLI, and the future of multimodal AI architectures.
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6 Lesons
55 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

ConvNeXt- A ConvNet for the 2020s - Paper Explained

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Explore ConvNeXt, a modern ConvNet outperforming vision transformers in computer vision tasks. Learn about its design, training, and performance across various applications.
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10 Lesons
40 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

Do Vision Transformers See Like Convolutional Neural Networks - Paper Explained

0 rewiews
Explore the differences between Vision Transformers and CNNs, examining feature learning, receptive fields, data impact, and architectural elements for a deeper understanding of these AI models.
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10 Lesons
35 minutes
On-Demand
Free-Video
James Briggs

Vision Transformers Explained + Fine-Tuning in Python

0 rewiews
Explore Vision Transformers (ViT) for image classification, from theory to implementation. Learn about attention mechanisms, patch embeddings, and fine-tuning using Hugging Face in Python.
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19 Lesons
30 minutes
On-Demand
Free-Video
HuggingFace

Stable Diffusion and Friends - High-Resolution Image Synthesis via Two-Stage Generative Models

0 rewiews
Explore the evolution of generative image models with Stable Diffusion co-creator Robin Rombach, covering GANs, Transformers, and latent Diffusion models for high-resolution image synthesis and creative applications.
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27 Lesons
28 minutes
On-Demand
Free-Video
1littlecoder

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

0 rewiews
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.
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1 Lesons
25 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Fine-Tuning ViT Classifier with Retina Images and Converting to ONNX - Video 3

0 rewiews
Fine-tune a Vision Transformer for diabetic retinopathy detection using EyeQ dataset and convert the model to ONNX format for efficient deployment.
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1 Lesons
12 minutes
On-Demand
Free-Video
The Machine Learning Engineer

LLMOps: Inference of Fine-Tuned ViT Classifier on CPU with C#

0 rewiews
Perform CPU inference on a fine-tuned Vision Transformer using C# and ONNX format for efficient image classification in machine learning projects.
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1 Lesons
21 minutes
On-Demand
Free-Video
James Briggs

Intro to Dense Vectors for NLP and Vision

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Explore dense vector representations in NLP and computer vision, from word2vec to modern transformer models, with practical Python implementations and applications.
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10 Lesons
44 minutes
On-Demand
Free-Video
Oxen

Training Vision Transformers for Real-Time Image Classification

0 rewiews
Master Vision Transformer implementation for real-time emotion classification in video, including hands-on training techniques and comparison with CLIP for zero-shot classification tasks.
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1 Lesons
52 minutes
On-Demand
Free-Video
Oxen

Understanding I-JEPA: A Non-Generative Approach to Self-Supervised Learning from Images

0 rewiews
Dive into Meta AI's I-JEPA framework for self-supervised image learning, exploring its architecture, methodology, and advantages over traditional approaches in computer vision and neural networks.
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14 Lesons
40 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Fine-Tuning Vision Transformer for Retina Image Classification - Inference on Azure ML AKS

0 rewiews
Fine-tune a Vision Transformer for diabetic retinopathy detection using EyeQ dataset and deploy on Azure ML with AKS for managed inference.
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1 Lesons
37 minutes
On-Demand
Free-Video
BIMSA

Deep Learning for Global Climate Monitoring and Predictions

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Explore advanced deep learning techniques for climate prediction, including few-shot learning and data assimilation, to enhance accuracy in global climate monitoring and forecasting.
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1 Lesons
53 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Fine-Tuning Vision Transformer Classifier for EyePacs Dataset Quality Model - Part 1

0 rewiews
Fine-tune a Vision Transformer for image quality assessment using the EyeQ dataset, a subset of EyePacs, to enhance diabetic retinopathy detection capabilities.
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1 Lesons
56 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Fine-Tuning Vision Transformer for Diabetic Retinopathy Detection - Part 2

0 rewiews
Fine-tune a Vision Transformer for diabetic retinopathy detection using EyeQ dataset. Learn to adapt pretrained models for specialized medical image classification tasks.
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1 Lesons
52 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Fine-Tuning ViT Classifier for EyePacs Dataset Quality Model - Tutorial en Español

0 rewiews
Personaliza un Vision Transformer con tu propio dataset para analizar la calidad de imágenes oculares utilizando el conjunto de datos EyeQ, un subconjunto de EyePacs.
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1 Lesons
58 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Fine-Tuning ViT Classifier with Custom Data and Docker Inference - Part 4

0 rewiews
Fine-tune a ViT classifier with custom data and deploy using Docker and FastAPI for efficient image classification in production environments.
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1 Lesons
44 minutes
On-Demand
Free-Video
The Machine Learning Engineer

CPU Inference with ViT ONNX Model in Azure ML Managed Endpoint - AKS

0 rewiews
Deploy a Vision Transformer model for CPU inference on Azure Kubernetes Service using ONNX format and Azure ML SDK v2. Learn to create managed endpoints in Azure ML Studio.
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1 Lesons
49 minutes
On-Demand
Free-Video
Code With Aarohi

Vision Transformers (ViTs) - A Beginner's Guide to Image Processing with Transformers

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Dive into Vision Transformers (ViTs), exploring core concepts like linear projection, multihead attention layers, and patch embedding in a beginner-friendly, comprehensive walkthrough.
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1 Lesons
1 hour 12 minutes
On-Demand
Free-Video
MIT HAN Lab

Vision Transformer - Lecture 16

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Dive into Vision Transformers architecture and implementation, exploring their role in computer vision tasks through expert insights and practical applications in machine learning.
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1 Lesons
1 hour 2 minutes
On-Demand
Free-Video
MIT HAN Lab

Vision Transformer for Efficient Machine Learning - Lecture 16

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Dive into Vision Transformer architecture and implementation with MIT Prof. Song Han, exploring key concepts and practical applications in modern computer vision and machine learning.
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1 Lesons
1 hour 2 minutes
On-Demand
Free-Video
MIT HAN Lab

Vision Transformer - Lecture 14

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Explore Vision Transformers in deep learning, covering architecture, training, and applications. Gain insights into this powerful model for computer vision tasks.
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1 Lesons
1 hour 14 minutes
On-Demand
Free-Video
MIT HAN Lab

Vision Transformer - Lecture 14

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Explore Vision Transformers in deep learning, covering architecture, training, and applications. Gain insights into this powerful model for computer vision tasks.
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1 Lesons
1 hour 14 minutes
On-Demand
Free-Video