Neural Networks you own this product

prerequisites
basic Python • basic mathematics • Keras (optional)
skills learned
neural network concepts • feed-forward neural networks • backpropagation
Rod Stephens
1 week · 4-6 hours per week · INTERMEDIATE
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In this liveProject, you’ll build neural nets for a bank that are capable of classifying the numbers written on deposit slips. Customers often write out their important account details by hand, and you need to create a model capable of effectively reading their handwriting. You’ll use a feedforward network trained with backpropagation to identify hand-drawn digits with a high percentage of accuracy. Plus, this project contains an optional bonus milestone! Further your knowledge of neural networks by using the TensorFlow and Keras libraries to create an alternative and more flexible version of your first model. You’ll get hands-on experience with these tools' standard libraries, and with your new model you will be able to easily analyze the network's success rate and experiment with different activation functions.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Rod Stephens

Rod Stephens started out as a mathematician but discovered the fun of algorithms and has been programming ever since. Rod was a Microsoft Visual Basic Most Valuable Professional (MVP) for 15 years, has spoken to user groups and conferences, and has taught introductory programming courses. He has written more than 35 books including Essential Algorithms: A Practical Approach to Computer Algorithms Using Python and C# and Beginning Software Engineering, both of which include material related to this series of liveProjects.

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