How Deep Learning will Transform Machine Learning

There have been so many talks and debates on all the things that deep learning can make possible. It can execute tasks that humans do in:

• Homes
• Offices
• Warehouses, and;
• Factories

Although Technology, as we know it, has continued to evolve, terms like artificial intelligence, deep learning, and machine learning still sound relatively new to some people.
What Is Deep Learning?
On a general note, the artificial learning field is basically when machines can execute tasks that normally demand human intelligence. It entails machine learning; where machines learn by experience and train skills without the involvement of humans.
However, deep learning is a subset of machine learning, and it is where artificial neural networks and algorithms that are inspired by the human brain learn from a huge volume of data.
Just like how humans learn from experience, a deep learning algorithm also executes repetitive tasks and tweaks it a little to enhance its outcome. The neural network of deep learning has diverse layers that allow learning to occur
Any issue that demands thoughts to figure out is an issue that deep learning can take on to solve. The algorithms of deep learning demand tons of data to learn from. This growth in data creation is among the reasons that deep learning abilities have grown.
Also, deep learning has been able to benefit from the powerful computing power that is made available today. Nonetheless, deep learning enables machines to resolve difficult problems even when a data set is being used.

Deep Learning Transformation
Deep Learning can transform machine learning in the tasks it carries out and resolves. The more deep learning algorithms learn, the better they make machine learning perform.
We are in a time when machines can easily learn how to solve difficult issues without the intervention of humans. Deep Learning can be used in different ways in a bid to transform machine learning. They are:

• Virtual assistants

It does not matter if it is Siri, Cortana, or the prominent Alexa. Virtual assistants of online service providers make use of deep learning in a bid to adults to understand your language and speech when you interact with all these assistants.

• Translations

Similarly, deep learning algorithms can instantly translate between different languages. It can be really helpful and powerful for travelers, people in government and those who are into business

• The vision for driverless drones and autonomous cars

It is only through deep learning algorithms that an autonomous vehicle will have an understanding of the realities of the road and how to react to each of them even if it is a stop sign, a ball or another car.
The more data being sent to a deep learning algorithm, the better it can act like humans in its information processing.

• Facial Recognition

It is being utilized for facial recognition not only for the sake of security but for tagging people on Facebook posts, and who knows when we will be able to pay for products in stores by making use of our faces.
To Sum It Up
​With all these areas where deep learning can be used, we can see how it will successfully transform machine learning as well. 
Once a deep learning algorithm solves problems and is being used for daily engagements, machine learning can as well learn the tasks and be used as well.