|ai|CONTINUOUS LEARNING|LIMITS OF DEEP LEARNING|
“The wise adapt themselves to circumstances, as water adapts to the pitcher.” — Chinese proverb
“Adapt or perish, now as ever, is nature’s inexorable imperative.” — HG Wells
artificial intelligence There have been great advances in recent years. All of these systems use artificial neurons In some ways, these algorithms are inspired by their biological counterparts. For example, the neuron aggregates information from previous neurons and, if the signal exceeds a certain threshold, it passes the information to other neurons. This idea is represented by the weight matrix and the activation function. Other examples can be found in convolutional networks (inspired by the visual cortex) or genetic algorithms. During the training process, the connections between various neurons (represented by the weights) are strengthened or weakened, similar to the strength of neuronal synapses. This process is the basis of the…
