- Supervised Learning
- Tensorflow
- Deep Learning
- Applied Machine Learning
- Keras (Neural Network Library)
- Predictive Modeling
- Image Analysis
- Artificial Neural Networks
- Machine Learning
- Data Processing
- Computer Vision
Convolutional Neural Networks in TensorFlow
Completed by Dong Hyub Kim
July 6, 2022
16 hours (approximately)
Dong Hyub Kim'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
