Convolutional Neural Networks in TensorFlow
Completed by Yue Yu
June 13, 2019
16 hours (approximately)
Yue Yu'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: Keras (Neural Network Library)
- Category: Fine-tuning
- Category: Classification Algorithms
- Category: Deep Learning
- Category: Model Evaluation
- Category: Applied Machine Learning
- Category: Image Analysis
- Category: Computer Vision
- Category: Transfer Learning
- Category: Model Training
- Category: Data Preprocessing
- Category: Machine Learning
