Convolutional Neural Networks in TensorFlow
Completed by Roman Ferrando Llopis
December 18, 2019
16 hours (approximately)
Roman Ferrando Llopis'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: Machine Learning
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Keras (Neural Network Library)
- Category: Model Evaluation
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Computer Vision
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Convolutional Neural Networks
