Explore the famous Iris dataset in our advanced TensorFlow course. Learn to preprocess data, build, and train a multi-class classifier. Evaluate performance with metrics and visualizations. Conclude with model optimization techniques to boost efficiency and accuracy, and cover saving/loading for deployment.
Overview
Syllabus
- Lesson 1: Preprocessing the Iris Dataset for TensorFlow
- Lesson 2: Building a Multi-Class Classification Model with TensorFlow
- Lesson 3: Deep Evaluation of Model Performance
- Lesson 4: Implementing Early Stopping in TensorFlow to Prevent Overfitting
- Lesson 5: Saving and Loading a TensorFlow Model
Related Courses
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Comprehensive Introduction to Tensorflow
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TensorFlow Developer Certificate - Building and Training Neural Network Models using TensorFlow 2.X
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Introduction to Neural Networks with TensorFlow
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Introduction to Neural Networks with TensorFlow
