Predicting Bike-Sharing Patterns

Published by duyanh on


In this project, you’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, you’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. You’ll also get to see how to apply these networks to solve real prediction problems!

The data comes from the UCI Machine Learning Database.

The project could be found in > deeplearning > project-bikesharing

Categories: Deeplearning

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