amolgm/Antenna-Arrays-in-3D

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Created about 9 years ago
Updated about 9 years ago

amolgm/Antenna-Arrays-in-3D

amolgm

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Produces radiation pattern for Broadside, Endfire, and Binomial antenna arrays in 3 dimensions

UFLDL_SparseAutoencoder

An unsupervised learning algorithm that applies back propagation, setting the target values to be equal to the inputs. Also, we impose a sparsity constraint on the hidden units, then the autoencoder will still discover interesting structure in the data, even if the number of hidden units is large.

UFLDL_SoftmaxRegression

This model generalizes logistic regression to classification problems where the class label y can take on more than two possible values.

Antenna-Arrays

Produces radiation pattern for Broadside, Endfire, Binomial, and Dolph - Chebyshev antenna arrays

UFLDL_CNN

UFLDL_SelfTaughtLearning

In Self-taught learning and Unsupervised feature learning, we will give our algorithms a large amount of unlabeled data with which to learn a good feature representation of the input.

UFLDL_StackedAE

A stacked autoencoder is a neural network consisting of multiple layers of sparse autoencoders in which the outputs of each layer is wired to the inputs of the successive layer.

AutotunePIDcontroller

UFLDL_PCA-2D

Implementation of PCA, PCA whitening and ZCA whitening in 2D

Birthday-Cake

This code bakes a birthday cake for someone special to whom you wanna surprise on his/her birthday

UFLDL_LinearDecoders

An autoencoder with a sigmoid (or tanh) hidden layer and a linear output layer is Linear Decoders. If one uses PCA whitening, the input is no longer constrained to [0,1], then you go for Linear Decoders