Convolutional Neural Networks in TensorFlow
Completed by DIEGO MINGUZZI
September 1, 2019
16 hours (approximately)
DIEGO MINGUZZI'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: Model Evaluation
- Category: Transfer Learning
- Category: Classification Algorithms
- Category: Convolutional Neural Networks
- Category: Machine Learning
- Category: Model Optimization
- Category: Deep Learning
- Category: Applied Machine Learning
- Category: Model Training
- Category: Tensorflow
- Category: Keras (Neural Network Library)
- Category: Image Analysis
