Machine-Learning

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建立个人知识库的思考

History The original idea of developing neural networks came from the human study of the brain, which has a large number of biological neurons, as shown in the figure above. In the biological neuron model, electrical signals flow through the dendrite into the cell body, which is equivalent to a data processing center, and when there is enough stimulus response, it sends a weak electrical signal to the cable-like axon, which flows through the axon and then reaches the synaptic terminals. terminals), a neuron will have multiple dendrites and a single axon, and the signaling between neurons and neurons is accomplished through a conductive fluid in the synaptic gap. By modeling the biological neuron, an artificial neuron is obtained, and the four elements to build the corresponding model are as follows. ...

Intro to Machine Learning & AI course address Course content: Solving intelligence Alpha Go & Alpha Zero Learning to play capture the flag Folding protein with AlphaFold Overview of lecture series Regarding the understanding of intelligence, there is a formula mentioned in the course The source of the formula is from the paper A Definition of Machine Intelligence Alpha Go and Alpha Zero use reinforcement learning to train themselves. An untrained neural network plays with itself to determine processing and adjust for errors, and then adjusts its own parameters to win more rewards through constant self-play. ...