Convolutional Neural Networks in TensorFlow
Completed by Shultz Hsu-Shih Wang
July 21, 2019
16 hours (approximately)
Shultz Hsu-Shih Wang'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: Fine-tuning
- Category: Data Preprocessing
- Category: Model Training
- Category: Computer Vision
- Category: Image Analysis
- Category: Classification Algorithms
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Tensorflow
- Category: Convolutional Neural Networks
- Category: Transfer Learning
