Convolutional Neural Networks in TensorFlow
Completed by Ye HE
June 26, 2019
16 hours (approximately)
Ye HE'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: Fine-tuning
- Category: Data Preprocessing
- Category: Convolutional Neural Networks
- Category: Artificial Neural Networks
- Category: Applied Machine Learning
- Category: Model Optimization
- Category: Machine Learning
- Category: Model Training
- Category: Image Analysis
- Category: Transfer Learning
- Category: Model Evaluation
- Category: Keras (Neural Network Library)
