Python Machine Learning For Beginners: An introduction to neural networks and a brief overview of the processes you need to know when programming computers and coding with python by Learn Michael

Author:Learn, Michael [Learn, Michael]
Language: eng
Format: epub
Published: 2019-10-27T16:00:00+00:00

Where Do You Come From, Where Do You Go, Deep Learning?

Clearly, deep learning advances are quite fascinating. Many take them for granted simply because the speed at which they have developed in recent years means that every year brings a new tool to the market - a tool to use in medicine, healthcare, business, commerce, and more.

The future of deep learning cannot be predicted with certainty - if we had an ultra-powerful AI, it might be able to make an accurate prediction of what will happen next. Even so, human brains figure that the following will happen over the next few years:

Better Learning

The more they learn, the more powerful machines become. We have a long way to go before we see the first full AI that is capable of mimicking thought processes and emotions - but the more AI is learning, the faster it will continue to grow.

As I was saying earlier in this book, it is a snowballing effect - so the more the “machine learning ball” is rolling, the larger it will become, and the more strength it will have.

Better Cyber Attack Protection

While humans might be able to beat codes created by humans, it might be a little more difficult for hackers to break in when an AI is protecting the realms of data held by a company. Soon enough, artificial intelligence will be capable of better monitoring, prevention, and responses when it comes to database breaches, DDoS attacks, and other cyberthreats.

Better Generative Models

Generative models aim to mimic human beings as much as they can, in very specific areas. The Baidu example in the previous section is a very good indicator here. Over the next few years, we will start to see a lot more of these very convincing generative models, to the point where we will not be able to make a clear distinction between humans and machines (at least in some respects).

Better Training for Machines

Machine learning training is fairly new, given the rapid ascension of this industry in the past couple of decades. The more we train our machines, however, the better we will become at it - and this means that the machines themselves will be able to make better, more accurate decisions.

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