Convolutional Neural Networks in TensorFlow
Completed by Shang-Rou Hsieh
March 30, 2020
16 hours (approximately)
Shang-Rou Hsieh'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: Tensorflow
- Category: Machine Learning
- Category: Model Optimization
- Category: Model Training
- Category: Convolutional Neural Networks
- Category: Image Analysis
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Keras (Neural Network Library)
- Category: Model Evaluation
- Category: Fine-tuning
- Category: Data Preprocessing
