- Image Analysis
- Artificial Neural Networks
- Deep Learning
- Data Processing
- Applied Machine Learning
- Machine Learning
- Keras (Neural Network Library)
- Computer Vision
- Supervised Learning
- Tensorflow
- Predictive Modeling
Convolutional Neural Networks in TensorFlow
Completed by Amine Laghaout
January 28, 2021
16 hours (approximately)
Amine Laghaout'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
