Convolutional Neural Networks in TensorFlow
Completed by Justine Christian Aguas
August 1, 2019
16 hours (approximately)
Justine Christian Aguas'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: Deep Learning
- Category: Classification Algorithms
- Category: Fine-tuning
- Category: Transfer Learning
- Category: Data Preprocessing
- Category: Model Evaluation
- Category: Applied Machine Learning
- Category: Convolutional Neural Networks
- Category: Keras (Neural Network Library)
- Category: Machine Learning
- Category: Image Analysis
- Category: Model Training
