Skip to content
View mtsol's full-sized avatar
Block or Report

Block or report mtsol

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Popular repositories Loading

  1. Book_Store Book_Store Public

    HTML

  2. survey survey Public

    C#

  3. javaReceptivi javaReceptivi Public

    Java 1

  4. Two-Class-Logistic-Regression-IRLS-MNIST- Two-Class-Logistic-Regression-IRLS-MNIST- Public

    Stochastic Gradient Descent, no singularity error. accuracy 99%

    MATLAB

  5. stochastic-gradient-decent-MNIST-with-softmax-matlab stochastic-gradient-decent-MNIST-with-softmax-matlab Public

    This is the implementation of stochastic gradient decent in MATLAB, using MNIST dataset. although this is a generic implementation and hence can be applied on any dataset for multi-class logistic r…

    MATLAB

  6. Neural-network-most-generic-code-matlab-tested-on-mnist. Neural-network-most-generic-code-matlab-tested-on-mnist. Public

    This the most eneric code of neural networks, you just have to chagne the number of neurons (units) in a vector, then see the results.

    MATLAB