In this section, you will discover and apply modern methods to solve a variety of problems. Classification, a canonical machine learning task, will serve as a great example to introduce up-to-date neural network architectures (such as Inception and ResNet) and transfer learning. Object detection, useful for self-driving cars and other robots, will serve to illustrate the trade-off between speed and accuracy through the comparison of two widely used algorithms—YOLO and Faster R-CNN. Finally, building upon the two previous chapters, the final chapter in this section ends with an in-depth presentation of encoder-decoder networks applied to image denoising and semantic segmentation.
The following chapters will be covered in this section:
- Chapter 4, Influential Classification Tools
- Chapter 5, Object...
