Convolutional Neural Networks in TensorFlow
Completed by Alexander Moyse
September 23, 2019
16 hours (approximately)
Alexander Moyse'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: Convolutional Neural Networks
- Category: Image Analysis
- Category: Model Optimization
- Category: Model Evaluation
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Keras (Neural Network Library)
- Category: Classification Algorithms
- Category: Deep Learning
- Category: Computer Vision
- Category: Model Training
- Category: Machine Learning
