Applications of DL
ML in general, and DL in particular, is producing more and more astonishing results in terms of the quality of predictions, feature detection, and classification. Many of these recent results have made the news. Such is the pace of progress that some experts are worrying that machines will soon be more intelligent than humans. But I hope that any such fears you might have will be alleviated after you have read this book. For better or worse, we’re still far from machines having human-level intelligence.
In Chapter 2, we mentioned how DL algorithms have occupied the leaderboard of the ImageNet competition. They are successful enough to make the jump from academia to industry.
Let’s talk about some real-world use cases of DL:
- Nowadays, new cars have a suite of safety and convenience features that aim to make the driving experience safer and less stressful. One such feature is automated emergency braking if the car sees an obstacle. Another...
