The field of artificial intelligence is essentially when machines can do tasks that typically require human intelligence. It encompasses machine learning, where machines can learn by experience and acquire skills without human involvement. Deep learning is a subset of machine learning where artificial neural networks, algorithms inspired by the human brain, learn from large amounts of data. Similarly, to how we learn from experience, the deep learning algorithm would perform a task repeatedly, each time tweaking it a little to improve the outcome.
Practical examples of deep learning:
- Virtual assistants – Be it Alexa, Cortana or even Siri, the virtual assistants of online service providers use deep learning to help understand your speech and the language humans use when they interact with them.
- Translations – Deep learning algorithms can automatically translate between languages. This can be powerful for travellers, business people and those in government.
- Autonomous driving – The more data the algorithms receive, the better they can act human-like in their information processing – e.g. knowing a faded stop sign or be it covered with snow/ dirt is still a stop sign.
- Chatbots – Companies can respond in an intelligent and helpful way to an increasing amount of auditory and text questions thanks to deep learning.
- Pharmaceutical – Many pharmaceutical and medical companies are now using deep learning to assist them to discover pharmaceutical drugs better than existing methods.
- Personalized shopping and entertainment – Wonder how Amazon suggest what you should buy next or how Netflix suggesting on what to watch next? That’s because its deep learning algorithms at work.