You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
With this package, you can generate mixed-integer linear programming (MIP) models of trained artificial neural networks (ANNs) using the rectified linear unit (ReLU) activation function. At the moment, only TensorFlow sequential models are supported. Interfaces to either the Pyomo or Gurobi modeling environments are offered.
An artificial neural network used for distinguishing between signal and continuum B events in Belle II monte carlo based on event topology. Competition submission for Belle II CNN competition, placed 5th with 95% efficiency.
This project tried to predict whether applicants will be successful if funded by the Alphabet Soup Co. Alphabet Soup Co. wants to provide funding to companies but it needs to know in advance whether it will be successful or not.
The main aim of this project is to built a predictive model using G Store data to predict the TOTAL REVENUE per customer that helps in better use of marketing budget.
This project involves the use of classical neural networks for the computation of the heat equation with Neumann boundary conditions and a gaussian distribution as initial condition.
Good Seed were employed Data Science for alcohol law compliance. My role includes using specialized cameras at checkout for alcohol buys, applying advanced computer vision for age verification, and designing a model to confirm age. I built a model with ResNet50 and 'relu', using a single neuron to output.