이미 소장하고 있다면 판매해 보세요.
1. Artificial Neural Network Fundamentals
2. PyTorch Fundamentals 3. Building a Deep Neural Network with PyTorch 4. Introducing Convolutional Neural Networks 5. Transfer Learning for object Classification 6. Practical Aspects of Image Classification 7. Basics of Object detection 8. Advanced object detection 9. Image segmentation 10. Applications of object detection and localization 11. Autoencoders and Image Manipulation 12. Image generation using GAN 13. Advanced GANs to manipulate images 14. Training with minimal data points 15. Combining Computer Vision and NLP techniques 16. Combining Computer Vision and Reinforcement Learning 17. Moving a Model to Production 18. OpenCV utilities for image analysis |