- Tensorflow
- Image Analysis
- Machine Learning
- Computer Vision
- Deep Learning
- Keras (Neural Network Library)
- Data Processing
- Artificial Neural Networks
- Predictive Modeling
- Applied Machine Learning
- Supervised Learning
Convolutional Neural Networks in TensorFlow
Completed by Daniel Ioan Floare
June 6, 2021
16 hours (approximately)
Daniel Ioan Floare'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
