Convolutional Neural Networks in TensorFlow
Completed by Guibin Tang
May 7, 2019
16 hours (approximately)
Guibin Tang'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: Keras (Neural Network Library)
- Category: Image Analysis
- Category: Transfer Learning
- Category: Applied Machine Learning
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Convolutional Neural Networks
- Category: Model Training
- Category: Computer Vision
- Category: Classification Algorithms
- Category: Deep Learning
