- Tensorflow
- Machine Learning
- Dropouts
- Inductive Transfer
- Augmentation
Convolutional Neural Networks in TensorFlow
Completed by Imesh Udara Ekanayake
March 31, 2020
16 hours (approximately)
Imesh Udara Ekanayake'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
