Artificial Intelligence
Building and Applying Your Neural Network Library
This course focuses on transforming your code into a reusable Python library and applying it to a real-world problem. You'll refactor your existing components into a structured package, build a `Model` class for easier network definition and training, and finally, train your neural network on the California Housing dataset for a regression task.
C++
5 lessons
16 practices
2 hours
Model Deployment Processes
Course details
Building a Neural Network Library
Complete Namespace Declarations in Main Library Header
Creating the Main Library Header Interface
Join the 1M+ learners on CodeSignal
Be a part of our community of 1M+ users who develop and demonstrate their skills on CodeSignal
