Challenges, recent achievements and the future of deep learning

Deep learning is one of the most powerful areas of artificial intelligence. This is a basic concept that uses technologies such as virtual assistants, self-driving cars or artificial intelligence for video games.

The main problems of deep learning

1. Working with data outside the educational distribution.
2. The need for less data and higher efficiency.

Recent achievements

1. Learning without supervision and self-control.
2. Generative Competitive Networks (GAN).
3. Autocoders.

The future of deep learning

1. Several scales of adaptation time.
2. Methane learning.
3. The human mind.

The future of deep learning is moving so that neural networks can quickly adapt to new conditions. Recent advances suggest that this area is growing rapidly right now.

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