- Deep Learning
- Artificial Neural Networks
- Data Processing
- Machine Learning
- Computer Vision
- Supervised Learning
- Image Analysis
- Tensorflow
- Keras (Neural Network Library)
- Applied Machine Learning
- Predictive Modeling
Convolutional Neural Networks in TensorFlow
Completed by Angus Peters
April 20, 2020
16 hours (approximately)
Angus Peters'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
