Modern Computer Vision with PyTorch
portes grátis
Modern Computer Vision with PyTorch
A practical and comprehensive guide to understanding deep learning and multimodal models for real-world vision tasks
Reddy, Yeshwanth; Ayyadevara, V Kishore
Packt Publishing Limited
05/2024
Mole
Inglês
9781803231334
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
Table of Contents
Artificial Neural Network Fundamentals
PyTorch Fundamentals
Building a Deep Neural Network with PyTorch
Introducing Convolutional Neural Networks
Transfer Learning for Image Classification
Practical Aspects of Image Classification
Basics of Object Detection
Advanced Object Detection
Image Segmentation
Applications of Object Detection and Segmentation
Autoencoders and Image Manipulation
Image Generation Using GANs
Advanced GANs to Manipulate Images
Training with Minimal Data Points
Combining Computer Vision and NLP Techniques
Combining Computer Vision and Reinforcement Learning
Stable Diffusion
Applications of Stable Diffusion
Moving a Model to Production
Artificial Neural Network Fundamentals
PyTorch Fundamentals
Building a Deep Neural Network with PyTorch
Introducing Convolutional Neural Networks
Transfer Learning for Image Classification
Practical Aspects of Image Classification
Basics of Object Detection
Advanced Object Detection
Image Segmentation
Applications of Object Detection and Segmentation
Autoencoders and Image Manipulation
Image Generation Using GANs
Advanced GANs to Manipulate Images
Training with Minimal Data Points
Combining Computer Vision and NLP Techniques
Combining Computer Vision and Reinforcement Learning
Stable Diffusion
Applications of Stable Diffusion
Moving a Model to Production
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Table of Contents
Artificial Neural Network Fundamentals
PyTorch Fundamentals
Building a Deep Neural Network with PyTorch
Introducing Convolutional Neural Networks
Transfer Learning for Image Classification
Practical Aspects of Image Classification
Basics of Object Detection
Advanced Object Detection
Image Segmentation
Applications of Object Detection and Segmentation
Autoencoders and Image Manipulation
Image Generation Using GANs
Advanced GANs to Manipulate Images
Training with Minimal Data Points
Combining Computer Vision and NLP Techniques
Combining Computer Vision and Reinforcement Learning
Stable Diffusion
Applications of Stable Diffusion
Moving a Model to Production
Artificial Neural Network Fundamentals
PyTorch Fundamentals
Building a Deep Neural Network with PyTorch
Introducing Convolutional Neural Networks
Transfer Learning for Image Classification
Practical Aspects of Image Classification
Basics of Object Detection
Advanced Object Detection
Image Segmentation
Applications of Object Detection and Segmentation
Autoencoders and Image Manipulation
Image Generation Using GANs
Advanced GANs to Manipulate Images
Training with Minimal Data Points
Combining Computer Vision and NLP Techniques
Combining Computer Vision and Reinforcement Learning
Stable Diffusion
Applications of Stable Diffusion
Moving a Model to Production
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
