- Deep Learning
- Artificial Neural Networks
- Data Processing
- Machine Learning
- Supervised Learning
- Predictive Modeling
- Tensorflow
- Keras (Neural Network Library)
- Computer Vision
- Image Analysis
- Applied Machine Learning
Convolutional Neural Networks in TensorFlow
Completed by Daniel J Strauss
July 18, 2024
16 hours (approximately)
Daniel J Strauss'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
