![Deep Learning with PyTorch](https://wfqqreader-1252317822.image.myqcloud.com/cover/214/36700214/b_36700214.jpg)
上QQ阅读APP看书,第一时间看更新
Applications of deep learning
Some popular applications that were made possible using DL are as follows:
- Near-human-level image classification
- Near-human-level speech recognition
- Machine translation
- Autonomous cars
- Siri, Google Voice, and Alexa have become more accurate in recent years
- A Japanese farmer sorting cucumbers
- Lung cancer detection
- Language translation beating human-level accuracy
The following screenshot shows a short example of summarization, where the computer takes a large paragraph of text and summarizes it in a few lines:
![](https://epubservercos.yuewen.com/DD5357/19470397608907106/epubprivate/OEBPS/Images/4a2ec332-490a-40b0-87ba-2a3290c4aab9.png?sign=1739414546-Aw5YsYxjzG6mm3xYRntxBH1zywSAnSym-0-d19a781f9b9ea2e372db16385dd24d57)
Summary of a sample paragraph generated by computer
In the following image, a computer has been given a plain image without being told what it shows and, using object detection and some help from a dictionary, you get back an image caption stating two young girls are playing with lego toy. Isn't it brilliant?
![](https://epubservercos.yuewen.com/DD5357/19470397608907106/epubprivate/OEBPS/Images/25961d1a-6689-4d5b-b3e3-b99c80c5aaa8.png?sign=1739414546-aamFo9remO3eDKy60iQpyHwJH6qX5m1i-0-bee43abd92f4e904d1c705758a604c4a)
Object detection and image captioning (Image source: https://cs.stanford.edu/people/karpathy/cvpr2015.pdf)