- Artificial Neural Networks
- Deep Learning
- Tensorflow
- Supervised Learning
- Predictive Modeling
- Data Processing
- Computer Vision
- Keras (Neural Network Library)
- Applied Machine Learning
- Machine Learning
- Image Analysis
Convolutional Neural Networks in TensorFlow
Completed by Fernando Rivera
September 28, 2021
16 hours (approximately)
Fernando Rivera'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
