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ResNeXt (Q&A) | Lecture 6 (Part 2) | Applied Deep Learning (Supplementary)
Wide Residual Networks (Q&A) | Lecture 6 (Part 1) | Applied Deep Learning (Supplementary)
mixup | Lecture 6 (Part 5) | Applied Deep Learning (Supplementary)
Inception-v4 (Q&A) | Lecture 6 (Part 4) | Applied Deep Learning (Supplementary)
ResNeXt | Lecture 10 (Part 1) | Applied Deep Learning
What is ResNeXt?
Wide Residual Networks | Lecture 9 (Part 2) | Applied Deep Learning
Feature Pyramid Networks (Q&A) | Lecture 35 (Part 7) | Applied Deep Learning (Supplementary)
ResNeXt | Paper Explained & PyTorch Implementation
Batch Normalization (Continued) | Lecture 6 (Part 1) | Applied Deep Learning
DenseNet | Lecture 10 (Part 2) | Applied Deep Learning
ResNeXt: Aggregated Residual Transformations for Deep Neural Networks