Convolutional Neural Networks in TensorFlow
Completed by Richard Pinto
October 20, 2024
16 hours (approximately)
Richard Pinto'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: Fine-tuning
- Category: Data Preprocessing
- Category: Model Evaluation
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Keras (Neural Network Library)
- Category: Model Optimization
- Category: Convolutional Neural Networks
- Category: Image Analysis
- Category: Model Training
- Category: Computer Vision
- Category: Classification Algorithms
