Convolutional Neural Networks in TensorFlow
Completed by Daniel Precioso
September 6, 2019
16 hours (approximately)
Daniel Precioso'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: Convolutional Neural Networks
- Category: Applied Machine Learning
- Category: Computer Vision
- Category: Data Preprocessing
- Category: Keras (Neural Network Library)
- Category: Tensorflow
- Category: Model Training
- Category: Model Optimization
- Category: Deep Learning
- Category: Machine Learning
- Category: Classification Algorithms
- Category: Image Analysis
