Machine Learning
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.
Numpy
Python
5 lessons
18 practices
2 hours
Model Deployment Processes
Course details
Debugging Import Errors in Neural Networks
Debugging Import Errors in Neural Networks
Building Your Neural Network Package API
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