Convolutional Neural Networks in TensorFlow
Completed by Tianye Wang
January 18, 2020
16 hours (approximately)
Tianye 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: Model Evaluation
- Category: Model Training
- Category: Machine Learning
- Category: Artificial Neural Networks
- Category: Tensorflow
- Category: Model Optimization
- Category: Classification Algorithms
- Category: Computer Vision
- Category: Image Analysis
- Category: Transfer Learning
- Category: Convolutional Neural Networks
- Category: Keras (Neural Network Library)
