What is a Neural Network?
In the realm of artificial intelligence, a neural network is a series of algorithms that mimic the operations of a human brain to recognize relationships between vast amounts of data. A very simple visual might be this little froge:
Key Components
- Neurons: The basic units of a neural network. They receive input, process it, and pass on the output to the next layer.
- Layers: Neural networks include an input layer, hidden layers, and an output layer.
- Weights & Biases: Each connection between neurons holds a weight value, and neurons can have a bias value to impact processing.
How they Learn
Neural networks learn through a process called training. During training, the network adjusts its weights and biases based on the error of its output, using methods like backpropagation.
Applications
They are used in various applications such as image and speech recognition, gaming, and even our froges 🐸! You can explore more applications here.