Convolutional Neural Networks in TensorFlow
Completed by David Solanas Sanz
October 14, 2019
16 hours (approximately)
David Solanas Sanz'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: Computer Vision
- Category: Model Optimization
- Category: Convolutional Neural Networks
- Category: Image Analysis
- Category: Model Training
- Category: Tensorflow
- Category: Fine-tuning
- Category: Applied Machine Learning
- Category: Keras (Neural Network Library)
- Category: Transfer Learning
