amolgm/intelligent-ebook
This is C code for my ARM7-core based Intelligent ebook.
Developer Profile
amolgm
Discovered public repositories for amolgm in the GitHub catalog.
amolgm/UFLDL_CNN
Public repository.
amolgm/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
amolgm/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.
amolgm/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.
amolgm/UFLDL_SoftmaxRegression
This model generalizes logistic regression to classification problems where the class label y can take on more than two possible values.
amolgm/UFLDL_PCA-and-ZCA-Whitening
Implementation of PCA and ZCA whitening, and applying them to image patches taken from natural images.
amolgm/UFLDL_PCA-2D
Implementation of PCA, PCA whitening and ZCA whitening in 2D
amolgm/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.
amolgm/AutotunePIDcontroller
Public repository.