- Tensorflow
- Image Analysis
- Supervised Learning
- Applied Machine Learning
- Computer Vision
- Machine Learning
- Deep Learning
- Artificial Neural Networks
- Keras (Neural Network Library)
- Predictive Modeling
- Data Processing
Convolutional Neural Networks in TensorFlow
Completed by François-Marie Lucien Manicacci
December 8, 2020
16 hours (approximately)
François-Marie Lucien Manicacci'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
