Extra Readings for Deep Learning

---

References

---

1. Types of Model Compression
2. A Basic Introduction to TensorFlow Lite
3. An Even Easier Introduction to CUDA
4. CUDA Neural Network Implementation (Part 1)
5. Tutorial 01: Say Hello to CUDA
6. Pruning Deep Neural Networks
7. Pruning deep neural networks to make them fast and small
8. Model Pruning in Deep Learning
9. github -- pruning filters for efficient convnets
10. Nerual Architecture Search with Tensorflow/Keras
11. Understanding Semantic Segmentation with UNET
12. [Learning Note] Single Shot MultiBox Detector with Pytorch — Part 1