Convolutional Neural Networks in TensorFlow
Completed by Rafael Prudêncio Leite
January 15, 2021
16 hours (approximately)
Rafael Prudêncio Leite'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: Applied Machine Learning
- Category: Transfer Learning
- Category: Keras (Neural Network Library)
- Category: Model Evaluation
- Category: Model Optimization
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Model Training
- Category: Computer Vision
- Category: Convolutional Neural Networks
- Category: Image Analysis
- Category: Tensorflow
