In artificial intelligence, an agent is anything that can perceive its environment through sensors and act upon that environment through effectors.Michael Nielsen
A neural network takes in inputs, which are then processed in hidden layers using weights that are adjusted during training.Michael Nielsen
Then the model spits out a prediction. The actual output is then compared to the desired output, and the model learns from its mistake, going back and adjusting the weights.Michael Nielsen
Neural networks and their accompanying learning algorithms are literally a form of artificial intelligence that simulates the learning process of the human brainMichael Nielsen
Neural networks have already been deployed in a number of real-world scenarios, hand-writing analysis, image recognition, text-to-speech synthesis... even computer games.Michael Nielsen
A major advantage that artificial neural networks have over traditional algorithms is their ability to interpret noisy or conflicting data, to generalize past learning, and to learn and derive meaning from vague or complex data sources.Michael Nielsen
A single neural network can be trained to recognize many patterns. These could be speech patterns, facial patterns, a logo, or a signature.Michael Nielsen
Neural networks can handle noise and missing data very well and can be used to create models when there is little data available.Michael Nielsen
The real beauty of a neural network is that it can be trained to understand data, even when we - human programmers - don't necessarily understand the data ourselves.Michael Nielsen
The learning rules that govern how neural networks learn are a way of simulating the learning process in humans.Michael Nielsen