Convolutional Neural Networks in TensorFlow
Completed by Juan Manuel Gutiérrez
July 12, 2019
16 hours (approximately)
Juan Manuel Gutiérrez'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: Convolutional Neural Networks
- Category: Keras (Neural Network Library)
- Category: Image Analysis
- Category: Transfer Learning
- Category: Applied Machine Learning
- Category: Model Evaluation
- Category: Data Preprocessing
- Category: Artificial Neural Networks
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Computer Vision
- Category: Machine Learning
