Mastering New Age Computer by Ralte Zonunfeli (8 results)

Condition: NEW.

Condition: New. In.

Paperback. Condition: new. Paperback. This book explores cutting-edge computer vision techniques, starting with zero-shot and few-shot learning, DETR, and DINO for object detection. It covers advanced segmentation models like Segment Anything and Vision Transformers, along with YOLO and CLIP. Using PyTorch, readers will learn image regression, multi-task learning, multi-instance learning, and deep metric learning. Hands-on coding examples, dataset preparation, and optimization techniques help apply these methods in real-world scenarios. Each chapter tackles key challenges, introduces architectural innovations, and improves performance in object detection, segmentation, and vision-language tasks. Master PyTorch for image processing, segmentation, and object detection. Explore advanced computer vision techniques like ViT and panoptic models. Apply multi-tasking, metric, bilinear pooling, and self-supervised learning in real-world scenarios. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback or Softback. Condition: New. Mastering New Age Computer Vision: Advanced techniques in computer vision object detection, segmentation, and deep learning (English Edition) 1.61. Book.

Paperback. Condition: Brand New. 426 pages. 7.50x0.96x9.25 inches. In Stock.

Paperback. Condition: new. Paperback. This book explores cutting-edge computer vision techniques, starting with zero-shot and few-shot learning, DETR, and DINO for object detection. It covers advanced segmentation models like Segment Anything and Vision Transformers, along with YOLO and CLIP. Using PyTorch, readers will learn image regression, multi-task learning, multi-instance learning, and deep metric learning. Hands-on coding examples, dataset preparation, and optimization techniques help apply these methods in real-world scenarios. Each chapter tackles key challenges, introduces architectural innovations, and improves performance in object detection, segmentation, and vision-language tasks. Master PyTorch for image processing, segmentation, and object detection. Explore advanced computer vision techniques like ViT and panoptic models. Apply multi-tasking, metric, bilinear pooling, and self-supervised learning in real-world scenarios. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condition: new. Paperback. This book explores cutting-edge computer vision techniques, starting with zero-shot and few-shot learning, DETR, and DINO for object detection. It covers advanced segmentation models like Segment Anything and Vision Transformers, along with YOLO and CLIP. Using PyTorch, readers will learn image regression, multi-task learning, multi-instance learning, and deep metric learning. Hands-on coding examples, dataset preparation, and optimization techniques help apply these methods in real-world scenarios. Each chapter tackles key challenges, introduces architectural innovations, and improves performance in object detection, segmentation, and vision-language tasks. Master PyTorch for image processing, segmentation, and object detection. Explore advanced computer vision techniques like ViT and panoptic models. Apply multi-tasking, metric, bilinear pooling, and self-supervised learning in real-world scenarios. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.