Convolutional Neural Networks in TensorFlow
Completed by Saša Tokić
December 28, 2020
16 hours (approximately)
Saša Tokić'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: Keras (Neural Network Library)
- Category: Applied Machine Learning
- Category: Machine Learning
- Category: Deep Learning
- Category: Model Optimization
- Category: Model Evaluation
- Category: Transfer Learning
- Category: Computer Vision
- Category: Image Analysis
