Job category:
Artificial Intelligence
376 learners

TensorFlow Techniques for Model Optimization

This course delves into advanced TensorFlow techniques to boost model performance and reliability. Learn about using regularization and dropout to prevent overfitting, and explore real-time training improvements with callbacks. Each module is concise and impactful, equipping you with practical skills to enhance your machine learning models.
Python
Scikit-learn
TensorFlow
4 lessons
20 practices
3 hours
Badge for Model Validation and Selection,
Model Validation and Selection

Course details

Implementing L2 Regularization in TensorFlow
Regularization: See it in Action
Modify Regularization Techniques in Model
Fix the Regularization Mistakes
Add L1 and L2 Regularization
Implement Regularization in TensorFlow

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