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1. (20 points) Given the following neural network and table ...

1. (20 points) Given the following neural network and table of weights, conduct an iteration of backpropagation. The network is using the sigmoid threshold function. The input sample [2,-1]T - has been placed on the input layer. The augmented 1 for the bias weight is shown in the network and corr...

This assignment is to be done individually. Please post your...

This assignment is to be done individually. Please post your submission to the appropriate drop-box on Blackboard. Late assignments will be penalized 10% a day. Answer the following questions. 1. Consider the following set of known facts and rules for a productionsystem. Facts (known to be t...

Your Assignment Your task is to create an AI that can play ...

Your Assignment Your task is to create an AI that can play and win a game of Team Isolation. Your AI will be tested against several pre-baked AIs as well as your peers’ AI systems. You will implement your AI in Python (from a provided iPython notebook), using our provided code as a starting p...

5 y 4 V Men 3 Boys 2 1 O o O o 1 2 o 3 4 5...

5 y 4 V Men 3 Boys 2 1 O o O o 1 2 o 3 4 5 o O O x O o O O Figure 1: The data sets 'men' and 'boys' with decision boundaries. Question 1 (a) In some two dimensional space points can be represented by a coordinate pair (x.y). In Figure 1 you see a data set where some p...

1. Written Problems (a) (Bishop 5.3) We have a neural netwo...

1. Written Problems (a) (Bishop 5.3) We have a neural network y(x;w) with multiple outputs. In this problem we assume the noise on those outputs is dependent, with general covariance matrix . Each obseration tn is a vector, we can group them into a matrix T. The rst part, where is xed and k...

In this project, we will explore clustering and experiment w...

In this project, we will explore clustering and experiment with high-dimensional data. We will be using a movies dataset. In this dataset, you will find data corresponding to 4,803 movies and you are asked to implement popular algorithms like k-means and k-means++ clustering algorithms efficiently ...

2. (120 points) Programming (b) (60 points) Nearest Neighbo...

2. (120 points) Programming (b) (60 points) Nearest Neighbors For this problem, you will be implementing the k-Nearest Neighbor (k-NN) classifier and evaluating on the Credit Approval (CA) dataset. It describes credit worthiness data (in this case, binary classification)We have split the availab...

Part 1 1. Fitness is a key measure when using evolutionary...

Part 1 1. Fitness is a key measure when using evolutionary Al techniques. What does fitness refer to and why is it important? What is the fitness measure in the Travelling Salesman Problem? What was the fitness measure in Tierra? 2. Create a three-state Turing Machine rule set that works as an in...

WS-9 Bonus TASK (5 marks) Take random 10 MNIST images, each...

WS-9 Bonus TASK (5 marks) Take random 10 MNIST images, each image is 28 X 28. For each image, create an image vector of 1x784 (i.e. rows of pixels in the image are placed one after the other to form a 1D image) Put all the images together in one big image-matrix, given as: ImageVecl MNIST_Imag...

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