Convolutional Neural Networks in TensorFlow
Completed by Flavia Denisa Veres
May 29, 2019
16 hours (approximately)
Flavia Denisa Veres'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: Image Analysis
- Category: Deep Learning
- Category: Model Training
- Category: Data Preprocessing
- Category: Fine-tuning
- Category: Classification Algorithms
- Category: Model Evaluation
- Category: Convolutional Neural Networks
- Category: Keras (Neural Network Library)
- Category: Computer Vision
- Category: Model Optimization
