Can a neural network "aware" of itself?

AIGlossary

Neural Networks

Related services

Neural networks are the engine under the hood of artificial intelligence. Instead of writing the program hard rules ("if you see a tail, it's a dog"), we create a neural network and show it a million photos of dogs. She herself finds hidden patterns and learns to recognize animals like a child.

What does a neural network consist of?

It consists of layers of artificial neurons: 1. Input layer (Input layer): Information (for example, image pixels) is provided here. 2. Hidden layers (Hidden layers): This is where all the "magic" happens. Each neuron transmits a signal to the next one, multiplying it by a certain weight (weight), which is adjusted during training. 3. Output layer (Output layer): The network gives the answer ("There is a dog in the photo with a probability of 98%").

Deep Learning (Deep Learning)

If the neural network has a lot of hidden layers (from several tens to thousands), it is called Deep Learning. It is thanks to deep learning that today's ChatGPT, Midjourney and autopilot systems at Tesla are possible.

Where are they used?

01Medicine

Convolutional Neural Networks (CNNs) analyze X-ray images and find tumors much more accurately and quickly than human doctors.

02Language synthesis

Your phone understands voice (Siri/Google Assistant) and generates answers in a human tone precisely thanks to recurrent neural networks (RNN).

/ FAQ

No. Despite the loud name, an artificial neuron is just a mathematical function. The neural network does not understand the meaning of the text it generates, it only expertly juggles probabilities.

Neural Networks

/ Neural Networks

Ready to implement?

We'll help you implement it. 30-minute process audit - free.

Book an audit