- Deep Learning
- Artificial Neural Networks
- Tensorflow
- Supervised Learning
- Data Processing
- Computer Vision
- Keras (Neural Network Library)
- Applied Machine Learning
- Machine Learning
- Image Analysis
Convolutional Neural Networks in TensorFlow
Completed by Kimchann Chon
March 13, 2021
16 hours (approximately)
Kimchann Chon'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
