- Tensorflow
- Machine Learning
- Dropouts
- Inductive Transfer
- Augmentation
Convolutional Neural Networks in TensorFlow
Completed by HIRUTHIC S S
June 10, 2020
16 hours (approximately)
HIRUTHIC S S'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