- Artificial Neural Networks
- Deep Learning
- Tensorflow
- Supervised Learning
- Predictive Modeling
- Computer Vision
- Data Processing
- Keras (Neural Network Library)
- Applied Machine Learning
- Machine Learning
- Image Analysis
Convolutional Neural Networks in TensorFlow
Completed by Filip Hládek
June 10, 2024
16 hours (approximately)
Filip Hládek'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
