Convolutional Neural Networks in TensorFlow
Completed by Javier Sánchez Fernández
August 27, 2019
16 hours (approximately)
Javier Sánchez Fernández'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 Optimization
- Category: Model Evaluation
- Category: Convolutional Neural Networks
- Category: Keras (Neural Network Library)
- Category: Applied Machine Learning
- Category: Classification Algorithms
- Category: Model Training
- Category: Computer Vision
- Category: Transfer Learning
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Image Analysis
