Welcome to the expanded collection of Scientific papers and topics that have enriched my understanding of deep learning and artificial intelligence. From object detection to advanced neural network architectures, these topics have been instrumental in shaping my journey. Here's a curated list:
| # | Title |
|---|---|
| 1 | Distilling the knowledge in a neural network |
| 2 | Fast R-CNN |
| 3 | Mask-RCNN |
| 4 | Attention is All You Need |
| 5 | ResNet |
| 6 | Generative Adversarial Networks (GANs) |
| 7 | VGG 16-19 |
| 8 | Long Short-Term Memory (LSTM) |
| 9 | LeNet |
| 10 | Masked Autoencoders Are Scalable Vision Learners |
| 11 | YOLO V3-V8 |
| 12 | Squeezeformer: An Efficient Transformer for Automatic Speech Recongnition |
| 13 | AlexNet |
| 14 | Vision Transformer |
| 15 | Battle of the Backbones |
| 16 | Deep Exemplar-based Colorization |
These topics represent the diverse landscape of deep learning, from cutting-edge object detection to foundational architectures. Dive in and explore the depths of artificial intelligence! 🚀🧠