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PyTorch
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Building a Neural Network
Training a Neural Network
Evaluating a Neural Network
Quick Recap
Convolutional Networks (CNN)
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Dataset From Files
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Feature Extraction
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Conclusion
Deep Metric Learning
Siamese Network
Triplet Loss
Weak Supervision
Projects
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Image Classification
Overview
Image Scraping
Image Retrieval
Choice 1: Colors
Dataset
Feature Extraction
Training
Image Retrieval
Choice 2: Face Attributes
Dataset
Overview
Neural Networks
Image retrieval
Troubleshooting
Choice 3: Sketches
Dataset
Overview
Image retrieval
Extensions
Object Localization
Part 1: Single Object
Dataset
Pretraining
Training
Evaluation
Part 2: Multiple Objects
Data Preparation
Model Architecture
Loss function
Evaluation
Index
