Convolutional Neural Networks in TensorFlow
Completed by Daniel Dubinskey
August 11, 2025
16 hours (approximately)
Daniel Dubinskey's account is verified. Coursera certifies their successful completion of Convolutional Neural Networks in TensorFlow
What you will learn
Handle real-world image data
Plot loss and accuracy
Explore strategies to prevent overfitting, including augmentation and dropout
Learn transfer learning and how learned features can be extracted from models
Skills you will gain
- Category: Model Optimization
- Category: Model Evaluation
- Category: Fine-tuning
- Category: Transfer Learning
- Category: Computer Vision
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Keras (Neural Network Library)
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Convolutional Neural Networks
- Category: Image Analysis
