Convolutional Neural Networks in TensorFlow
Completed by Raquel Fandos
August 5, 2019
16 hours (approximately)
Raquel Fandos'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: Deep Learning
- Category: Convolutional Neural Networks
- Category: Keras (Neural Network Library)
- Category: Transfer Learning
- Category: Model Evaluation
- Category: Classification Algorithms
- Category: Computer Vision
- Category: Tensorflow
- Category: Artificial Neural Networks
- Category: Model Optimization
- Category: Machine Learning
