3.2: Leveraging Pre-Trained Models for Vision and Language Tasks

Leveraging Pre-training Models for Speech ProcessingПодробнее

L08.3: Leveraging a Pretrained ModelПодробнее

Unit 7.6 | Leveraging Pretrained Models with Transfer Learning | Part 2Подробнее

Unit 7.6 | Leveraging Pretrained Models with Transfer Learning | Part 1Подробнее

【EP1】A Vision-and-Language Approach to Computer Vision in the Wild: Modeling and BenchmarkПодробнее

Computer Vision Meetup: Leveraging Vision Language Models for Specialized Agricultural TasksПодробнее

Vision transformers #machinelearning #datascience #computervisionПодробнее

Paper Club with Peter: RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic ControlПодробнее

BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding&GenerationПодробнее

What is Transfer Learning?Подробнее

Visualization of embeddings with PCA during machine learning (fine-tuning) of a Vision TransformerПодробнее

What is a Generative Pre-trained Transformer (GPT)? [2023]Подробнее

How Large Language Models WorkПодробнее

The Visual Representation for Vision & Language Tasks - Xinlei ChenПодробнее

Multimodal Few-Shot Learning with Frozen Language Models | Paper ExplainedПодробнее

PyTorch or Tensorflow? Which Should YOU Learn!Подробнее

Blip2 Model Demo- Visual Question AnsweringПодробнее

[CVPR 2023] Filtering, Distillation, and Hard Negatives for Vision-Language Pre-TrainingПодробнее