[EXE] Predictive modeling using temporal data
hash-ir opened this issue · comments
Learning Goals
- Create a multi-layer perceptron model from scratch using NumPy
- Understand forward pass, backpropagation and hyperparameter tuning from the ground up
Exercise Statement
Create a 2-layer neural network using NumPy to predict future ridership data based on the historical data
Prerequisites
- Basic knowledge of NumPy and neural networks
Data source/summary:
(Optional) Suggest/Propose Solutions
I have the solution using NumPy that I did as part of the Deep Learning Nanodegree, will be happy to create a pull request to include the exercise statement/solution. I have written a blog post as well if someone is curious
(Optional) Further Links/Credits to Relevant Resources:
This exercise and solution's proposal came from Project 1 of Udacity's Deep Learning Nanodegree
Hi, I'd like to work on this with a couple of others for a school project. We'll be basing it on your blog post.
@dermarkr Sure, let me know if you need any help!