- Image Analysis
- Data Processing
- Machine Learning
- Keras (Neural Network Library)
- Tensorflow
- Computer Vision
- Deep Learning
- Predictive Modeling
- Supervised Learning
- Applied Machine Learning
- Artificial Neural Networks
Convolutional Neural Networks in TensorFlow
Completed by Jeffrey Wilson Norton
August 15, 2024
16 hours (approximately)
Jeffrey Wilson Norton'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
