Convolutional Neural Networks in TensorFlow
Completed by Hsin-Ying Chiu
April 4, 2020
16 hours (approximately)
Hsin-Ying Chiu'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: Applied Machine Learning
- Category: Machine Learning
- Category: Convolutional Neural Networks
- Category: Model Evaluation
- Category: Tensorflow
- Category: Transfer Learning
- Category: Data Preprocessing
- Category: Keras (Neural Network Library)
- Category: Image Analysis
- Category: Deep Learning
- Category: Computer Vision
