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Full Stack AI Developer Roadmap
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Module 8
Computer Vision with CNNs
1
Convolutional Neural Networks: Building Blocks
Explain convolution, pooling, and stride operations in CNNs
2
PyTorch CNNs for Image Classification
Build and train a CNN for image classification using PyTorch
3
Image Dataset Preparation and Augmentation with DataLoader
Prepare image datasets using DataLoader and apply data augmentation
4
Transfer Learning with ResNet and VGG
Use transfer learning with pre-trained models (ResNet, VGG)
5
Fine-Tuning Pre-trained Models
Fine-tune pre-trained models on custom datasets
6
YOLO Architecture: Grid Cells, Bounding Boxes, and NMS
Explain YOLO architecture concepts: grid cells, bounding boxes, and NMS
7
YOLO for Object Detection
Apply a pre-trained YOLO model for object detection
8
Interpreting CNNs: Visualizing Feature Maps and Filters
Visualize CNN feature maps and filters to interpret model behavior
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Deep Learning Foundations
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Natural Language Processing