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8 Axon: nine betweentwoneuronsinbrain. : re, , “6 Artificial neuron: Smallest functional node ofan artificial neural network., “8 Deep: Multiple hidden layers inan ANN. 1 selh een aq, “6 Hidden: Describes layers that lie between input and output layer inan ANN., , “6 Activation function: A function used by hidden node to compute the input., , “8 Weight: A value associated with input data value., , “8 Bias: Aconstant balancing value used in computation by anode., , CONCEPTUAL SKILLS ASSESSMENT, A. Choose the correct answer., , , , woe, , sls Deep learning is based on the Al model called, a. Regression b. Neural network, ¢ Artificial neural network -—~ d. Allofthese, zt Inan ANN, computations are carried outin layer., a. Input b. Output, c Botha) andb) d. Hidden 1-—~, 3; Inan ANN, a node takes as input ‘, a. Data b. Weight, Cc; Botha) and b) ean d. None ofthese, 4. A/An extracts features from the data without any inputs from the developer., a ANN b. Node, c Layer d. Allofthese, , B. _‘Fillinthe blank., , , , , Allthe data interpreted by a neural networkisin Limensea/ form. i, Artificial Neural Networks area set of _Mna ching learningalgorithms., , A_mnodtis anartificial neuron., InanANN, computations do nothappenin lop and_Octt putayers., , a2 RS

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Peererttaeree ier 7!, , F \ following questions., ae Briefly explain how deep learning is based on artificial neural network. ‘<n, pos InanANN, whatis the role of different layers? ', , _ Name the three input elements anode takes., , List various types of artificial neural networks., , , , , , , , i. LIFE SKILLS ASSESSMENT, , Information Highway - Self-paced Learning, thinking skills, creativity, , © https://www.explainthatstuff.com /introduction-to-neural-networks.html, i © https://kids.kiddle.co/Neural_network, , o http://encyclopedia.kids.net.au/page/ne/Neural_network, , | Experiential Learning - Teamwork, communication, presentation, critical thinking, decision making,, problem solving, leadership, Visit https://www.explainthatstuff.com/introduction-to-neural-networks.html and prepare a 1000, words write up on how neural networks work.

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2020, There is always a better strategy than the one you have