Convolutional Neural Networks in TensorFlow
Completed by Benjamin Depew
December 10, 2019
16 hours (approximately)
Benjamin Depew'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: Machine Learning
- Category: Model Optimization
- Category: Artificial Neural Networks
- Category: Applied Machine Learning
- Category: Fine-tuning
- Category: Computer Vision
- Category: Model Evaluation
- Category: Image Analysis
- Category: Transfer Learning
- Category: Data Preprocessing
- Category: Deep Learning
- Category: Classification Algorithms
