Shreya V Shetty shreyavshetty

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INTRO TO NEURAL NETWORKS
WEEK - I
INSTRUCTOR: Shreya V Shetty
shreyav4@gmail.com

Inspiration
As the title suggests, the concept of neural network was loosely inspired by neurons of the nervous system. What’s so great about this nervous system? A single neuron has incredible capacity. The nervous system on a whole can aid humans in recognizing patterns and detecting objects. Let’s look into some details of the nervous system architecture.
How does the Human Brain Learn?
Much is still unknown about how the brain trains itself. In the human brain, a typical neuron collects signals from others dendrites. The neuron sends out spikes of electrical activity through axon, which splits into thousands of branches. At the end of each branch, a structure called a synapse converts the activity from the axon into electrical effects that inhibit or excite activity from the axon into electrical effects that inhibit or excite activity in the connected neurons. Learning occurs by changing the effectiveness of the synapses so
	INTRO TO NEURAL NETWORKS
	WEEK - I
	INSTRUCTOR: Shreya V Shetty
	shreyav4@gmail.com

	Inspiration
	As the title suggests, the concept of neural network was loosely inspired by neurons of the nervous system. What’s so great about this nervous system? A single neuron has incredible capacity. The nervous system on a whole can aid humans in recognizing patterns and detecting objects. Let’s look into some details of the nervous system architecture.
	How does the Human Brain Learn?
	Much is still unknown about how the brain trains itself. In the human brain, a typical neuron collects signals from others dendrites. The neuron sends out spikes of electrical activity through axon, which splits into thousands of branches. At the end of each branch, a structure called a synapse converts the activity from the axon into electrical effects that inhibit or excite activity from the axon into electrical effects that inhibit or excite activity in the connected neurons. Learning occurs by changing the effectiveness of the synapses so