1. What is the answer for the definition- "It is a model for AI and machine learning inspired by the neural networks of the human brain". b. NAN a. ANN d. None of the above C. NNA
answer it it's urgent ....
Answers
Answer:
Artificial Neural Networks are computational models and inspire by the human brain. Many of the recent advancements have been made in the field of Artificial Intelligence, including Voice Recognition, Image Recognition, Robotics using Artificial Neural Networks. Artificial Neural Networks are the biologically inspired simulations performed on the computer to perform certain specific tasks like -
Clustering
Classification
Pattern Recognition
Artificial Neural Networks, in general - is a biologically inspired network of artificial neurons configured to perform specific tasks. These biological methods of computing are known as the next major advancement in the Computing Industry.
What is a Neural Network?
The term ‘Neural’ has origin from the human (animal) nervous system’s basic functional unit ‘neuron’ or nerve cells present in the brain and other parts of the human (animal) body. A neural network is a group of algorithms that certify the underlying relationship in a set of data similar to the human brain. The neural network helps to change the input so that the network gives the best result without redesigning the output procedure. You can also learn more about ONNX in this insight.
Parts of Neuron and their Functions
The typical nerve cell of the human brain comprises of four parts -
Function of Dendrite
It receives signals from other neurons.
Soma (cell body)
It sums all the incoming signals to generate input.
Axon Structure
When the sum reaches a threshold value, the neuron fires, and the signal travels down the axon to the other neurons.
Synapses Working
The point of interconnection of one neuron with other neurons. The amount of signal transmitted depends upon the strength (synaptic weights) of the connections.
Parts of Biological Neuron
The connections can be inhibitory (decreasing strength) or excitatory (increasing strength) in nature. So, a neural network, in general, has a connected network of billions of neurons with a trillion of interconnections between them.
What is the Difference Between Computer and Human Brain?
Human Brain vs Computer
Artificial Neural Networks (ANN) and Biological Neural Networks (BNN) - Difference
Characteristics Artificial Neural Network Biological(Real) Neural Network
Speed Faster in processing information. Response time is in nanoseconds. Slower in processing information. The response time is in milliseconds.
Processing Serial processing. Massively parallel processing.
Size & Complexity Less size & complexity. It does not perform complex pattern recognition tasks. A highly complex and dense network of interconnected neurons containing neurons of the order of 1011 with 1015 of interconnections.<strong
Storage Information storage is replaceable means replacing new data with an old one. A highly complex and dense network of interconnected neurons containing neurons of the order of 1011 with 1015 of interconnections.
Fault tolerance Fault intolerant. Corrupt information cannot retrieve in case of failure of the system. Information storage is adaptable means new information is added by adjusting the interconnection strengths without destroying old information.
Control Mechanism There is a control unit for controlling computing activities No specific control mechanism external to the computing task.
Artificial Neural Networks with Biological Neural Network - Similarity