- Supervised Learning
- Predictive Modeling
- Machine Learning
- Data Processing
- Applied Machine Learning
- Tensorflow
- Image Analysis
- Deep Learning
- Keras (Neural Network Library)
- Computer Vision
- Artificial Neural Networks
Convolutional Neural Networks in TensorFlow
Completed by Jakub Fąk
September 17, 2020
16 hours (approximately)
Jakub Fąk'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
