ÄÄÇ»ÅÍ vs »ç¶÷
- Çö´ëÀÇ ÄÄÇ»ÅÍ´Â »ê¼ú ¹× ±âÈ£ ¿¬»ê µî¿¡¼ »ç¶÷º¸´Ù ¶Ù¾î³ ´É·Â
- »ç¶÷Àº º¹ÀâÇÑ Áö°¢ ¹®Á¦µéÀ» ¾ÆÁÖ °£´ÜÈ÷ ÇØ°á: ½Ã°¢, û°¢, ...
»ý¹°ÇÐÀû ½Å°æ ȸ·Î¸Á
[ a single neuron ]
½Å°æ ȸ·Î¸Á(Artificial Neural Network)
1. Dendrite: ´Ù¸¥ ´º·Ðµé·ÎºÎÅÍ ÀÚ±Ø(signal, impulse)À» ¹Þ¾ÆµéÀδÙ.
2. Synapse: ¹Þ¾ÆµéÀÎ ÀÚ±ØÀ» °µµ¿¡ µû¶ó¼ ÁõÆø(excite), ¶Ç´Â Ãà¼Ò(inhibit).
3. Cell body: ¸ð¾ÆÁø Àڱصé·ÎºÎÅÍ signalÀ» »ý¼º
4. Axon: cell body¿¡¼ »ý¼ºµÈ signalÀ» ´Ù¸¥ ´º·Ðµé¿¡°Ô Àü¼Û
Àΰ£ÀÇ ½Å°æȸ·Î¸Á
- Neuron switching time: 0.001ÃÊ
- Number of neurons: °³
- Connections per neuron:
- Scene recognition time: 0.1ÃÊ
- Highly parallel computation
* ´º·Ð ÇϳªÀÇ Ã³¸® ¼Óµµ()´Â ÄÄÇ»ÅÍ CPUÀÇ ¼Óµµ()º¸´Ù ÈξÀ ´À¸®Áö¸¸ °·ÂÇÑ º´·Ä󸮴ɷÂÀ¸·Î ÀÎÇÏ¿© scene recognitionµîÀÇ º¹ÀâÇÑ ÀÛ¾÷À» ºü¸£°Ô ¼öÇà(0.1ÃÊ).
Artificial Neural Network
: »ý¹°ÇÐÀû ½Å°æȸ·Î¸ÁÀÇ Computational Model.
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