Skip to content

In this project, we'll get to build a neural network from scratch to carry out a prediction problem on a real dataset! By building a neural network from the ground up, we'll have a much better understanding of gradient descent, backpropagation, and other concepts that are important to know before we move to higher level tools such as PyTorch. we…

Notifications You must be signed in to change notification settings

Ferdib-Al-Islam/project-bikesharing

Repository files navigation

project-bikesharing

In this project, we'll get to build a neural network from scratch to carry out a prediction problem on a real dataset! By building a neural network from the ground up, we'll have a much better understanding of gradient descent, backpropagation, and other concepts that are important to know before we move to higher level tools such as PyTorch. we'll also get to see how to apply these networks to solve real prediction problems! The data comes from the UCI Machine Learning Database.

About

In this project, we'll get to build a neural network from scratch to carry out a prediction problem on a real dataset! By building a neural network from the ground up, we'll have a much better understanding of gradient descent, backpropagation, and other concepts that are important to know before we move to higher level tools such as PyTorch. we…

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published