Convolutional Neural Networks in TensorFlow
Completed by Aizaz Khan
February 11, 2026
16 hours (approximately)
Aizaz Khan'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: Fine-tuning
- Category: Classification Algorithms
- Category: Deep Learning
- Category: Computer Vision
- Category: Convolutional Neural Networks
- Category: Image Analysis
- Category: Tensorflow
- Category: Model Training
- Category: Model Evaluation
- Category: Keras (Neural Network Library)
- Category: Applied Machine Learning
