PyTorch for Computer Vision Engineers: From Zero to Deployment
Master PyTorch fundamentals, build and deploy computer vision models, and leverage advanced techniques for real-world applications.
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PyTorch Fundamentals for Computer Vision
Unit 1: PyTorch Building Blocks
Tensors: The Core
Autograd: Backprop Magic
nn.Module: Model Blueprint
Unit 2: Data Handling for Vision
Datasets: Your Image Stash
Dataloaders: Batching Up
Transforms: Image Prep
Unit 3: Building & Training Vision Models
CNNs: Vision's Workhorse
Training Your First CNN
Advanced PyTorch for Computer Vision and Deployment
Unit 1: Leveraging Pre-trained Models and Transfer Learning
Why Pre-trained Models?
Torchvision Models
Fine-tuning for New Tasks
Vision Transformers (ViT)
Unit 2: PyTorch Ecosystem and Deployment Essentials
Dataset & Dataloader Magic
Model Optimization Basics
Exporting to ONNX
Inference with ONNX