Convolutional Neural Networks in TensorFlow
Completed by Brandon Ballance
August 26, 2019
16 hours (approximately)
Brandon Ballance'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: Classification Algorithms
- Category: Model Evaluation
- Category: Fine-tuning
- Category: Deep Learning
- Category: Tensorflow
- Category: Machine Learning
- Category: Keras (Neural Network Library)
- Category: Model Training
- Category: Model Optimization
- Category: Convolutional Neural Networks
- Category: Image Analysis
- Category: Transfer Learning
