- Computer Vision
- Supervised Learning
- Deep Learning
- Tensorflow
- Machine Learning
- Artificial Neural Networks
- Data Processing
- Predictive Modeling
- Applied Machine Learning
- Image Analysis
- Keras (Neural Network Library)
Convolutional Neural Networks in TensorFlow
Completed by Daehyun Kim
October 22, 2022
16 hours (approximately)
Daehyun 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
