Convolutional Neural Networks in TensorFlow
Completed by Martin Zwiebler
July 11, 2019
16 hours (approximately)
Martin Zwiebler'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: Model Evaluation
- Category: Deep Learning
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Data Preprocessing
- Category: Keras (Neural Network Library)
- Category: Machine Learning
- Category: Model Optimization
- Category: Convolutional Neural Networks
- Category: Image Analysis
- Category: Model Training
