
Bhartendu
Department. of Space
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PostGrad: Machine Learning & Computing; UnderGrad: Electronics & Communication Engineering
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Plot validation curve of Neural Network
1. For Validation accuracy and it's plot: * Perform CV partition as follows: X = imds_Train.Files Y = imds_Train.Labe...
Plot validation curve of Neural Network
1. For Validation accuracy and it's plot: * Perform CV partition as follows: X = imds_Train.Files Y = imds_Train.Labe...
거의 7년 전 | 2
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Size of Matrix Training Data for CNN for Regression
Related query: <https://in.mathworks.com/matlabcentral/answers/368182-error-in-using-trainnetwork-with-training-data-and-labels...
Size of Matrix Training Data for CNN for Regression
Related query: <https://in.mathworks.com/matlabcentral/answers/368182-error-in-using-trainnetwork-with-training-data-and-labels...
거의 7년 전 | 0
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Error in using trainNetwork with training data and labels
Try the following: If your data ( *18000* data points) is in form of images with dimensions say, *120*200* (equals to *24000*...
Error in using trainNetwork with training data and labels
Try the following: If your data ( *18000* data points) is in form of images with dimensions say, *120*200* (equals to *24000*...
거의 7년 전 | 4
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Ned's Queens
A tribute to Cody's five-year anniversary should also celebrate the people behind Cody, and in this particular case, our illustr...
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Number of Even Elements in Fibonacci Sequence
Find how many even Fibonacci numbers are available in the first d numbers. Consider the following first 14 numbers 1 1 2...
7년 초과 전
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Linear Regression [Simplest Implementation]
Linear regression using: Direct Method, Inbuilt function, SGD Method
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I Plead the Fifth
Write a function to provide a yes or no answer to the input string. However, it must plead the 5th amendment (return an empty st...
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Pentagonal Numbers
Your function will receive a lower and upper bound. It should return all pentagonal numbers within that inclusive range in ascen...
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The 5th Root
Write a function to find the 5th root of a number. It sounds easy, but the typical functions are not allowed (see the test su...
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Pair Primes
Let's define pair primes as follow; * *For 2 digits numbers:* 11 and 17 are pair primes because both of them are 2 digits pri...
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5 Prime Numbers
Your function will be given lower and upper integer bounds. Your task is to return a vector containing the first five prime numb...
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Pernicious Anniversary Problem
Since Cody is 5 years old, it's pernicious. <http://rosettacode.org/wiki/Pernicious_numbers Pernicious number> is an integer whi...
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Basic electricity in a dry situation
This is a very hypothetical situation between two individuals in a very dry atmosphere. He came running in rubber boots when...
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Energy of a photon
Given the frequency F of a photon in giga hertz. Find energy E of this photon in giga electron volts. Assume h, Planck's ...
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How to subtract?
* Imagine you need to subtract one number from another using MATLAB. * You will not be using eval for this task. * Given two A...
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Character recognition using HAM (Neural Network)
Neural Network using Auto Associative memory method to store 5 characters
거의 8년 전 | 다운로드 수: 2 |

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Gauss-Seidel Method, Jacobi Method
The Jacobi and Gauss-Seidel Iterative Methods
거의 8년 전 | 다운로드 수: 17 |

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AdaBoost, PCA (Capstone Project)
Capstone Project: PCA & AdaBoost concepts are applied to 'Car Detection' from images
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Support Vector Machine
SVM (Linearly Seperable Data) using linear Kernel with Gradient ascent
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Kernel PCA
Kernel PCA analysis with Kernel ridge regression & SVM regression
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SMO (Sequential Minimal Optimization)
Sequential Minimal Optimization (Simplified SMO) for SVM classification using Linear Kernel
거의 8년 전 | 다운로드 수: 4 |

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SARSA Reinforcement Learning
Maze solving using SARSA, Reinforcement Learning
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Maze Solver (Reinforcement Learning)
Maze Solving using Value iterations, Dynamic Programming
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Support Vector Regression
On-line support vector regression (using Gaussian kernel)
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Delta Learning, Widrow Hoff Learning
Delta Learning rule, Widrow-Hoff Learning rule (Artificial Neural Networks)
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Perceptron Learning
Perceptron Learning rule, (Artificial Neural Networks)
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