Convolutional Neural Networks in TensorFlow
Completed by Alexander Hannah
January 29, 2020
16 hours (approximately)
Alexander Hannah'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: Convolutional Neural Networks
- Category: Image Analysis
- Category: Model Training
- Category: Keras (Neural Network Library)
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Data Preprocessing
- Category: Computer Vision
- Category: Model Optimization
- Category: Model Evaluation
- Category: Fine-tuning
- Category: Classification Algorithms
