Convolutional Neural Networks in TensorFlow
Completed by Bernd Karlsboeck
October 11, 2019
16 hours (approximately)
Bernd Karlsboeck'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
- Category: Classification Algorithms
- Category: Convolutional Neural Networks
- Category: Keras (Neural Network Library)
- Category: Applied Machine Learning
- Category: Tensorflow
- Category: Machine Learning
- Category: Model Training
- Category: Computer Vision
- Category: Image Analysis
- Category: Model Evaluation
- Category: Model Optimization
- Category: Deep Learning
