- Deep Learning
- Artificial Neural Networks
- Tensorflow
- Supervised Learning
- Computer Vision
- Data Processing
- Keras (Neural Network Library)
- Applied Machine Learning
- Machine Learning
- Image Analysis
Convolutional Neural Networks in TensorFlow
Completed by Crystal Ungar Dixson
December 19, 2020
16 hours (approximately)
Crystal Ungar Dixson'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
