Convolutional Neural Networks in TensorFlow
Completed by Henrik Andersson
April 26, 2019
16 hours (approximately)
Henrik Andersson'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 Evaluation
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Transfer Learning
- Category: Machine Learning
- Category: Keras (Neural Network Library)
- Category: Applied Machine Learning
- Category: Computer Vision
- Category: Convolutional Neural Networks
- Category: Model Optimization
- Category: Image Analysis
- Category: Model Training
