Practical Deep Learning with Python
Completed by Shaibin K B
November 21, 2025
12 hours (approximately)
Shaibin K B's account is verified. Coursera certifies their successful completion of Practical Deep Learning with Python
What you will learn
Understand the core components of deep learning models and their role in AI.
Apply CNN, R-CNN, and Faster R-CNN for object detection tasks.
Implement RNNs and LSTMs for sequential data processing.
Optimize and evaluate deep learning models for improved performance.
Skills you will gain
- Category: Model Optimization
- Category: Model Evaluation
- Category: Machine Learning Methods
- Category: Fine-tuning
- Category: Artificial Intelligence
- Category: Python Programming
- Category: Convolutional Neural Networks
- Category: Applied Machine Learning
- Category: Model Training
- Category: Recurrent Neural Networks (RNNs)
