Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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What is a modelled perceptron network? Can this method be used in basic linear classification, where objects are divided into two classes using a linear border and two feature dimensions? to demonstrate AND and OR? Is there a logical activity a perceptron model cannot perform? Is there a logical activity a perceptron model cannot perform? How can a simple feedforward network model capture all essential logical operations?
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- What is a model of a perceptron network? How could a model like this be used to do simple linear classification, in which objects are put into two groups based on a linear boundary and two feature dimensions? To show how simple rules of logic (like AND and OR) work? What logical operation doesn't work in a perceptron model? What logical operation doesn't work in a perceptron model? What simple change can be made to make a simple feedforward network model that can model all the basic operations of logic?arrow_forwardSuppose you are designing a deep learning architecture to solve an object detection problem, where there areN numbers of objects and each object has M number of images. If the resolution of each image is 227 x 227 x 3, then answer the following questions: (a) Write down the name of the layers of your deep learning architecture including parameters dimension. (b) How many convolution layers will you use in your deep learning model and why? (c) Is it a good idea to use multiple fully connected layers? Motivate your answerarrow_forwardCS401: COMPUTER MODELLING AND SIMULATION QUESTION 1 What do you mean by verification and validation of simulation models? Explain calibration and validation models with neat diagram. QUESTION 2 Suppose you are developing the simulation model of a telecommunication systemwhere the incoming calls are being served by a single service person. Assume the arrival of the calls as well as their service times are random. Identify some entities, attributes, activities, events and states variables for this simulation model. QUESTION 3 Consider an unfair six-sided die where the probability of rolling a “1” is three times the probability of rolling any other value. All other values have the same probability of occurring. Let X be the random variable that takes on values 1 through 6 for our unfair die. Plot the pmf and CDF of X. Determine the mean of X QUESTION 4 Explain the two different techniques for generating random numbers with examples? Describe the Mid-squire method for generating…arrow_forward
- Discuss the concept of the actor model in the context of distributed systems and concurrent programming.arrow_forwardImplement a Multi-layer perceptron model and test the model using any data set of your choice. The output should include Accuracy, Error rate, Precision, and recall rate along with the confusion matrix.arrow_forward
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