Convolutional Neural Networks in TensorFlow
Completed by Kasper Danielsen
September 16, 2019
16 hours (approximately)
Kasper Danielsen'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)
