Q3) Design a perceptron neural network to distinguish patterns between bananas and pineapples, based on three sensor measurements (shape, texture and weight). The transfer function is hardlims and the input vectors for the patterns of each item are as in follows: P₁ 1 (Banana) P₂ == -Q = 印 (Pineapple)

Q: Choose one answer. In deep neural networks, the vanishing gradient problem occurs because Select…

A: The correct option is (d). a and b

Q: train an artificial neural network using CIFAR10 dataset. You can get the dataset from Keras similar…

A: from matplotlib import pyplotfrom keras.datasets import cifar10(trainX, trainy), (testX, testy) =…

Q: Four different machine learning algorithms are shown in this section, which may be used for…

A: ML algorithms: If the training data is huge and the number of observations is more than the number…

Q: Q3: A single-layer neural network is to have six inputs and two outputs. The outputs are to be…

A: Answer: 3) A single layered neural network may be network with which theres just one layer of input…

Q: Know how a backpropagation algorithm can be applied to updating the weights of a neural network

A: The backpropagation algorithm is used to train the neural networks by adjusting the weights of the…

Q: Many of the computational models of cognitive activities that have been proposed involve quite…

A: Given: Many of the computational models of cognitive activities that have been proposed involve…

Q: (please note that sometimes we use the symbol { instead of c) What are the new values of the vector…

A: You may build the truth table, view the values, and select the gate that the network imitates. 0 0 0…

Q: The task of detecting a cat present in a given image or not. To finish this task, you create two…

A: Multilayer perception is a feedforward neural network has one or more inputs and output. This is…

Q: A neuron with 4 inputs has the weight vector w = [1; 2; 3; 4] and a bias, θ = 0 (zero). The…

A: Actually, given information  A neuron with 4 inputs has the weight vector w = [1; 2; 3; 4] and a…

Q: Explain why you would choose one particular machine learning model over another, giving specific…

A: An unsupervised learning approach that can be applied to clustering issues is the Going Backward…

Q: Using the Perceptron learning rule, Find the weights required to perform the following…

A: Answer is given below .

Q: work with 3 input neurons, 1 hidden layer including 3 neurons and 1 output neuron. Consider all the…

A: Q.   Draw a geed forward neural network with 3 input neurons, 1 hidden layer including 3 neurons…

Q: The following Boolean function: f(x1, x2, x3) = 1 if and only if exactly one of x1, x2 and x3 is 1.…

A: Given: function: f(x1, x2, x3) = 1 if and only if exactly one of x1, x2 and x3 is 1. Now what's our…

Q: Seeing a row of stars written in black as part of the regular Stroop task would be modeled in…

A: The Cohen–Grossberg neural network model is considered, which includes both time-varying and…

Q: Consider the back propagation neural network as shown in figure 1, assume that the neurons have a…

A: Alright, let's break this down step by step.Given the figure and the information provided, let's…

Q: The neural network given below takes two binary valued inputs x1,x2 ϵ{0, 1} and the activation…

A: The output H(x) is calculated as H(x) = 20*x1 + 20*x2 - 30

Q: Consider a neuron with 2 inputs, 1 output, and a threshold activation function. If the two weights…

A: A neuron is the basic unit of a neural network. A neuron passes a signal forward based on input. For…

Q: Conv1 Conv2 Conv3 Filter size = 3 x 3 Filter size = 5 x 5 Filter size = 5 x 5 # filters = 40 Stride…

A: The answer is

Q: Find the max-product and max-min composition of relations R1 and R2 given as follows: 1.0 0.3 0.9…

A: Below is the complete solution with explanation in detail for the given question.

Q: In deep learning models, the activation function refers to a function in an artificial neuron (node)…

A: ReLU activation function convert value into  Zero(0) if you enter negative value if you enter…

Use of XOR function

XOR function or exclusive OR function was introduced in Excel 2013. This function is available under excel logical functions. For the given statement, the XOR function will return true only when either of the statements is true. It returns false when both the statements are true or when both the statements are false.