Convolutional Neural Networks in TensorFlow
Completed by Wingyin Tse
August 6, 2020
16 hours (approximately)
Wingyin Tse'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: Transfer Learning
- Category: Model Evaluation
- Category: Keras (Neural Network Library)
- Category: Machine Learning
- Category: Tensorflow
- Category: Applied Machine Learning
- Category: Computer Vision
- Category: Data Preprocessing
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Image Analysis
- Category: Convolutional Neural Networks
