Convolutional Neural Networks in TensorFlow
Completed by Kangli Feng
April 12, 2020
16 hours (approximately)
Kangli Feng'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: Fine-tuning
- Category: Data Preprocessing
- Category: Keras (Neural Network Library)
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Machine Learning
- Category: Convolutional Neural Networks
- Category: Image Analysis
- Category: Model Training
- Category: Deep Learning
- Category: Classification Algorithms
