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What is deep learning?

What is Deep Learning and why do artificial neural networks work well with large amounts of data? What does Big Data have to do with it?

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What is deep learning?

Deep learning is a branch of machine learning that focuses on artificial neural networks and large amounts of data. Deep learning is used to make decisions and forecasts more accurate. Deep learning has gained relevance through big data and strong computing power and is developing into a new hype topic in computer science.

in Neural networks have been around since the early 1940s and are not really a new topic, but big data and growing computing power and the use of graphics cards (GPUs) are rapidly gaining attention.

Differentiation of Deep Learning, Machine Learning, and Artificial Intelligence. Machine learning and deep learning are part of artificial intelligence
Deep learning is part of artificial intelligence
The creation of deep learning models is very computationally intensive and the training can last for months until good predictions and decisions can be made.

Due to the complex architectures, it is often difficult to find the right model parameters, especially Google is working on automation processes (Auto-ML) to address these drawbacks.

 

What is Deep Learning

A very simple artificial neural network consists of an input layer, a hidden layer, and an output layer.

The hidden layer neurons contain so-called weights and assign an output result to the various input signals.

In the process, input signals are viewed and transformed via activation functions.

Artificial neural networks can have simple or complex structures. They consist of Input Layer, Hidden Layer, and Output Layer.
Deep learning and artificial neural networks can have simple or complex architectures.
As you can see in the diagram, a neural network can be built arbitrarily complex. For example, simple ANNs can have only one hidden layer, with more complex approaches then having 100 hidden layers.

When talking about deep learning, we mean models that definitely have more than one hidden layer.

Above all, there are many different approaches that always require different architectures.

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when an unknown printer took a galley of type & scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting.

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