B1.3 Implementing Text and Image Classification Using Neural Networks in scikit-learn
B1. Building Neural Networks with scikit-learn.
Implementing Text and Image Classification Using Neural Networks in scikit-learn:
1. Module Overview
2. Encoding Text in Numeric Form
3. Loading and Exploring the Newsgroup Dataset
4. Creating Feature Vectors from Text Data Using Tf-Idf
5. Building and Training a Classification Model on Text
6. Encoding Images in Numeric Form
7. Loading and Visualizing the Lego Bricks Image Dataset
8. Building and Training a Classification Model on Image
9. Module Summary
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