- Applied Machine Learning
- Supervised Learning
- Predictive Modeling
- Tensorflow
- Image Analysis
- Deep Learning
- Computer Vision
- Data Processing
- Artificial Neural Networks
- Machine Learning
- Keras (Neural Network Library)
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
